Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineering Manager, you will lead a high-performing team dedicated to redefining how the world consumes storage infrastructure through an AI -driven, multi-cloud fabric. You will act as a technical catalyst, driving the delivery of unified data services while providing deep mentorship to foster a culture of engineering excellence. By collaborating closely with Product and Architecture leads, you will bridge the gap between long-term business strategy and high-impact technical execution to scale our global platform. WHAT YOU'LL DO Build and Scale High-Performing Teams: Drive the end-to-end lifecycle of engineering talent, from strategic hiring and onboarding to cultivating an environment of psychological safety and rapid innovation. Direct Technical Strategy: Oversee the architectural health of core data services-including cloud mobility and high-availability systems-ensuring all engineering decisions support massive scale and multi-cloud resilience. Drive Predictable Delivery: Manage high-impact roadmaps by optimizing agile workflows and proactively addressing technical debt to ensure the consistent release of enterprise-grade features that meet business KPIs. Bridge Strategy and Execution: Serve as the primary conduit between Product Management and Engineering, translating complex customer requirements into actionable technical priorities and long-term milestones. Champion Professional Growth: Elevate the organization's collective capability by mentoring senior and staff-level engineers, guiding career development, and setting the standard for modern software development best practices. WHAT YOU BRING Distributed Systems Expertise: Deep technical proficiency in architecting and shipping large-scale enterprise software, with specific experience in high-availability systems, cloud-native technologies, or storage protocols. Adaptive People Leadership: Proven experience managing and growing software engineering teams, with a track record of navigating organizational complexity and fostering a high-performance culture. Operational Command: Mastery of delivery management and lean engineering processes, demonstrating the ability to balance rapid feature velocity with system stability, security, and quality. Influential Communication: The ability to articulate complex technical trade-offs and project health to executive leadership while remaining deeply connected to the engineering team's daily technical challenges. Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $193,000 - $317,000 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
09/28/2026
Full time
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineering Manager, you will lead a high-performing team dedicated to redefining how the world consumes storage infrastructure through an AI -driven, multi-cloud fabric. You will act as a technical catalyst, driving the delivery of unified data services while providing deep mentorship to foster a culture of engineering excellence. By collaborating closely with Product and Architecture leads, you will bridge the gap between long-term business strategy and high-impact technical execution to scale our global platform. WHAT YOU'LL DO Build and Scale High-Performing Teams: Drive the end-to-end lifecycle of engineering talent, from strategic hiring and onboarding to cultivating an environment of psychological safety and rapid innovation. Direct Technical Strategy: Oversee the architectural health of core data services-including cloud mobility and high-availability systems-ensuring all engineering decisions support massive scale and multi-cloud resilience. Drive Predictable Delivery: Manage high-impact roadmaps by optimizing agile workflows and proactively addressing technical debt to ensure the consistent release of enterprise-grade features that meet business KPIs. Bridge Strategy and Execution: Serve as the primary conduit between Product Management and Engineering, translating complex customer requirements into actionable technical priorities and long-term milestones. Champion Professional Growth: Elevate the organization's collective capability by mentoring senior and staff-level engineers, guiding career development, and setting the standard for modern software development best practices. WHAT YOU BRING Distributed Systems Expertise: Deep technical proficiency in architecting and shipping large-scale enterprise software, with specific experience in high-availability systems, cloud-native technologies, or storage protocols. Adaptive People Leadership: Proven experience managing and growing software engineering teams, with a track record of navigating organizational complexity and fostering a high-performance culture. Operational Command: Mastery of delivery management and lean engineering processes, demonstrating the ability to balance rapid feature velocity with system stability, security, and quality. Influential Communication: The ability to articulate complex technical trade-offs and project health to executive leadership while remaining deeply connected to the engineering team's daily technical challenges. Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $193,000 - $317,000 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
Work Location : Tinker AFB, Oklahoma Agency : U.S. Air Force Cyberspace Infrastructure Planning System (CIPS) Min. Education Requirement/Years of Experience : 5+ years of experience Position: Full-time / Exempt Clearance : Active Secret Clearance preferred. Candidates with the ability to obtain and maintain a Secret Clearance may be considered. Position Overview: The Full Stack Cloud Developer (backend focus) provides support to the U.S. Air Force Cyberspace Infrastructure Planning System (CIPS). This position serves as a senior-level engineer responsible for designing, developing, testing, deploying, and maintaining cloud-based applications and backend services that support mission-critical Air Force infrastructure planning capabilities. While the role supports full-stack development, the selected candidate will primarily focus on backend architecture, cloud operations, DevSecOps processes, database optimization, and application performance. The engineer will collaborate with government stakeholders, product management, and development teams to modernize existing capabilities, deliver new functionality, and improve system reliability, scalability, and maintainability across the CIPS environment. Key Responsibilities: Backend Application Development Design, develop, and maintain scalable backend services and APIs. Implement large-scale features that span multiple system components and data structures. Develop resilient, maintainable, and high-performing application architectures. Analyze technical tradeoffs and recommend appropriate architectural solutions. Database Design & Optimization Design and maintain relational database schemas. Develop and optimize complex database queries. Evaluate and implement appropriate data storage solutions, including relational and non-relational databases. Support data integrity, performance optimization, and legacy data modernization efforts. Cloud & DevSecOps Operations Build, enhance, and maintain CI/CD pipelines. Develop and support containerized applications using Docker and similar technologies. Contribute to cloud-native architecture and modernization efforts. Implement and maintain application monitoring, logging, and observability strategies. Assist with cloud performance tuning, reliability improvements, and cost optimization initiatives. Testing & Quality Assurance Develop automated unit and integration tests. Define testing strategies and quality standards across development efforts. Participate in code reviews and continuous improvement initiatives. Ensure application stability through automated testing and release validation processes. Collaboration & Technical Leadership Partner with Air Force stakeholders, project leadership, and development teams to refine requirements and acceptance criteria. Present technical recommendations and gain consensus among stakeholders. Break large development efforts into executable workstreams for multiple team members. Mentor junior developers and contribute to coding standards, best practices, and engineering excellence. Front-End Support Support modernization of user interfaces and web applications. Make enhancements and maintenance updates to React- and TypeScript-based applications. Collaborate with front-end developers to deliver cohesive user experiences. Required Qualifications: 5+ years of professional software engineering experience. Experience developing applications using object-oriented programming languages such as C#, Java, or similar technologies. Experience designing and developing backend services, APIs, and web applications. Experience working with relational databases and data modeling concepts. Experience implementing automated testing methodologies, including unit and integration testing. Experience with CI/CD pipelines and modern software delivery practices. Experience with Docker or similar containerization technologies. Familiarity with cloud platforms such as AWS, Azure, DoD Cloud, Platform One, Cloud One, or equivalent environments. Understanding of modern software architecture principles, including scalability, resiliency, maintainability, and security. Ability to work effectively within Agile development environments. Preferred Qualifications: Experience with ASP.NET Core, .NET, or similar enterprise application frameworks. Experience with Oracle database development and performance tuning. Experience with Kubernetes or container orchestration platforms. Experience with Infrastructure as Code (Terraform, ARM, CloudFormation, etc.). Experience implementing application monitoring, observability, and logging solutions. Experience with React, TypeScript, and modern front-end technologies. Experience supporting Air Force, DoD, or other Federal Government systems. Experience with cloud migration and application modernization initiatives. Active Secret Clearance. Physical Demands: While performing the duties of the job, the incumbent will be exposed to normal demands associated with an office environment. Ability to work on a computer for long periods, and communicate with individuals by telephone, email, and face to face. This position requires the incumbent to have the ability to stand, walk, sit, use hands to finger, handle or feel objects, tools, or controls, reach with hands and arms, talk, and hear. The employee must be able to lift and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust and focus. Work Environment: The noise level in the work environment is usually light to medium. About Us: Nash Harbor Solutions (NHS) is a premier Alaska Native-owned IT services company dedicated to delivering top-tier contract services to the Government sector. Our team is driven by dynamic, results-oriented leaders who exemplify professionalism and maintain a steadfast commitment to a customer-focused approach in every engagement. NHS proudly offers a comprehensive benefits program, with flexible options that empower you to customize your selections to meet the unique needs of your family. At NHS, we excel at bridging the gap between government requirements and cutting-edge technology solutions, ensuring innovative and effective outcomes for our clients. NHS is an equal opportunity employer and prohibits discrimination of any kind regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, and other conditions of employment. We are an E-Verify employer Compensation details: 00 Yearly Salary PI8da87f0f5b5b-7420
09/28/2026
Full time
Work Location : Tinker AFB, Oklahoma Agency : U.S. Air Force Cyberspace Infrastructure Planning System (CIPS) Min. Education Requirement/Years of Experience : 5+ years of experience Position: Full-time / Exempt Clearance : Active Secret Clearance preferred. Candidates with the ability to obtain and maintain a Secret Clearance may be considered. Position Overview: The Full Stack Cloud Developer (backend focus) provides support to the U.S. Air Force Cyberspace Infrastructure Planning System (CIPS). This position serves as a senior-level engineer responsible for designing, developing, testing, deploying, and maintaining cloud-based applications and backend services that support mission-critical Air Force infrastructure planning capabilities. While the role supports full-stack development, the selected candidate will primarily focus on backend architecture, cloud operations, DevSecOps processes, database optimization, and application performance. The engineer will collaborate with government stakeholders, product management, and development teams to modernize existing capabilities, deliver new functionality, and improve system reliability, scalability, and maintainability across the CIPS environment. Key Responsibilities: Backend Application Development Design, develop, and maintain scalable backend services and APIs. Implement large-scale features that span multiple system components and data structures. Develop resilient, maintainable, and high-performing application architectures. Analyze technical tradeoffs and recommend appropriate architectural solutions. Database Design & Optimization Design and maintain relational database schemas. Develop and optimize complex database queries. Evaluate and implement appropriate data storage solutions, including relational and non-relational databases. Support data integrity, performance optimization, and legacy data modernization efforts. Cloud & DevSecOps Operations Build, enhance, and maintain CI/CD pipelines. Develop and support containerized applications using Docker and similar technologies. Contribute to cloud-native architecture and modernization efforts. Implement and maintain application monitoring, logging, and observability strategies. Assist with cloud performance tuning, reliability improvements, and cost optimization initiatives. Testing & Quality Assurance Develop automated unit and integration tests. Define testing strategies and quality standards across development efforts. Participate in code reviews and continuous improvement initiatives. Ensure application stability through automated testing and release validation processes. Collaboration & Technical Leadership Partner with Air Force stakeholders, project leadership, and development teams to refine requirements and acceptance criteria. Present technical recommendations and gain consensus among stakeholders. Break large development efforts into executable workstreams for multiple team members. Mentor junior developers and contribute to coding standards, best practices, and engineering excellence. Front-End Support Support modernization of user interfaces and web applications. Make enhancements and maintenance updates to React- and TypeScript-based applications. Collaborate with front-end developers to deliver cohesive user experiences. Required Qualifications: 5+ years of professional software engineering experience. Experience developing applications using object-oriented programming languages such as C#, Java, or similar technologies. Experience designing and developing backend services, APIs, and web applications. Experience working with relational databases and data modeling concepts. Experience implementing automated testing methodologies, including unit and integration testing. Experience with CI/CD pipelines and modern software delivery practices. Experience with Docker or similar containerization technologies. Familiarity with cloud platforms such as AWS, Azure, DoD Cloud, Platform One, Cloud One, or equivalent environments. Understanding of modern software architecture principles, including scalability, resiliency, maintainability, and security. Ability to work effectively within Agile development environments. Preferred Qualifications: Experience with ASP.NET Core, .NET, or similar enterprise application frameworks. Experience with Oracle database development and performance tuning. Experience with Kubernetes or container orchestration platforms. Experience with Infrastructure as Code (Terraform, ARM, CloudFormation, etc.). Experience implementing application monitoring, observability, and logging solutions. Experience with React, TypeScript, and modern front-end technologies. Experience supporting Air Force, DoD, or other Federal Government systems. Experience with cloud migration and application modernization initiatives. Active Secret Clearance. Physical Demands: While performing the duties of the job, the incumbent will be exposed to normal demands associated with an office environment. Ability to work on a computer for long periods, and communicate with individuals by telephone, email, and face to face. This position requires the incumbent to have the ability to stand, walk, sit, use hands to finger, handle or feel objects, tools, or controls, reach with hands and arms, talk, and hear. The employee must be able to lift and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust and focus. Work Environment: The noise level in the work environment is usually light to medium. About Us: Nash Harbor Solutions (NHS) is a premier Alaska Native-owned IT services company dedicated to delivering top-tier contract services to the Government sector. Our team is driven by dynamic, results-oriented leaders who exemplify professionalism and maintain a steadfast commitment to a customer-focused approach in every engagement. NHS proudly offers a comprehensive benefits program, with flexible options that empower you to customize your selections to meet the unique needs of your family. At NHS, we excel at bridging the gap between government requirements and cutting-edge technology solutions, ensuring innovative and effective outcomes for our clients. NHS is an equal opportunity employer and prohibits discrimination of any kind regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, and other conditions of employment. We are an E-Verify employer Compensation details: 00 Yearly Salary PI8da87f0f5b5b-7420
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MD / VA WHAT YOU'LL DO Develop a real understanding of what drives each institution: research priorities, funding cycles, capital versus operating constraints, and who actually makes the decision Connect technology, including the Everpure portfolio and the broader ecosystem, to measurable research and institutional outcomes Move fluently between principal investigators, research computing staff, central IT, CIOs, finance, and procurement, adapting the conversation to each audience instead of delivering the same presentation Build the business case alongside the technical one: total cost of ownership, power and cooling, data center footprint, staff time, and the real cost of the current environment Support research workloads end to end, from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive Help customers work through data management questions: lifecycle and retention, reproducibility, sponsor and funding agency data sharing expectations, research data governance, and security requirements such as NIST 800-171 and CMMC where they apply Partner closely with account managers, specialists, channel partners, and higher education purchasing consortia and contract vehicles Take ownership of evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win Capture requirements and translate them into solutions that help institutions grow their research capability rather than just their capacity Author responses to RFIs, RFPs, and RFQs, which in this segment are frequent and detailed Stay current on the competitive landscape and make sure our positioning reflects it honestly Follow market and research computing trends closely enough to bring that thinking back into our organization Lead by example living the Pure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first WHAT YOU'LL BRING Required 8 or more years of relevant experience across technology, solution design, and customer-facing communication Pre-sales or customer-facing technical experience Experience with higher education, research computing, academic medical centers, or the public sector Familiarity with HPC and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation Broad technical depth across two or more of: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications. A career built entirely inside storage is not what we are looking for A track record of selling on value: uncovering what the customer is trying to accomplish and connecting technology to business, operational, and financial outcomes The ability to hold credible conversations with engineers, architects, executives, data scientists, researchers, finance teams, and procurement, and to adjust the message for each Comfort with ambiguity, and the judgment to challenge assumptions and help customers think through complicated decisions Curiosity, empathy, an open mind, and a genuine appetite for continuous learning Excellent verbal and written communication skills BS in CS, EE, another technical degree, or equivalent experience Helpful, but not required Knowledge of current and emerging storage architectures (FC, iSCSI, NAS, SAN, object) and file systems Linux, NFS, and distributed Linux environments VMware, Ethernet, TCP/IP, and general networking AWS, Azure, or GCP, and hybrid or cloud-native architectures Containers, Kubernetes, and microservices Data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles Experience with higher education, research computing, academic medical centers Familiarity with HPC, research and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation If you meet most of the required list and few of the second list, we would still like to hear from you. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $141,400 - $212,100 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
09/28/2026
Full time
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MD / VA WHAT YOU'LL DO Develop a real understanding of what drives each institution: research priorities, funding cycles, capital versus operating constraints, and who actually makes the decision Connect technology, including the Everpure portfolio and the broader ecosystem, to measurable research and institutional outcomes Move fluently between principal investigators, research computing staff, central IT, CIOs, finance, and procurement, adapting the conversation to each audience instead of delivering the same presentation Build the business case alongside the technical one: total cost of ownership, power and cooling, data center footprint, staff time, and the real cost of the current environment Support research workloads end to end, from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive Help customers work through data management questions: lifecycle and retention, reproducibility, sponsor and funding agency data sharing expectations, research data governance, and security requirements such as NIST 800-171 and CMMC where they apply Partner closely with account managers, specialists, channel partners, and higher education purchasing consortia and contract vehicles Take ownership of evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win Capture requirements and translate them into solutions that help institutions grow their research capability rather than just their capacity Author responses to RFIs, RFPs, and RFQs, which in this segment are frequent and detailed Stay current on the competitive landscape and make sure our positioning reflects it honestly Follow market and research computing trends closely enough to bring that thinking back into our organization Lead by example living the Pure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first WHAT YOU'LL BRING Required 8 or more years of relevant experience across technology, solution design, and customer-facing communication Pre-sales or customer-facing technical experience Experience with higher education, research computing, academic medical centers, or the public sector Familiarity with HPC and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation Broad technical depth across two or more of: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications. A career built entirely inside storage is not what we are looking for A track record of selling on value: uncovering what the customer is trying to accomplish and connecting technology to business, operational, and financial outcomes The ability to hold credible conversations with engineers, architects, executives, data scientists, researchers, finance teams, and procurement, and to adjust the message for each Comfort with ambiguity, and the judgment to challenge assumptions and help customers think through complicated decisions Curiosity, empathy, an open mind, and a genuine appetite for continuous learning Excellent verbal and written communication skills BS in CS, EE, another technical degree, or equivalent experience Helpful, but not required Knowledge of current and emerging storage architectures (FC, iSCSI, NAS, SAN, object) and file systems Linux, NFS, and distributed Linux environments VMware, Ethernet, TCP/IP, and general networking AWS, Azure, or GCP, and hybrid or cloud-native architectures Containers, Kubernetes, and microservices Data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles Experience with higher education, research computing, academic medical centers Familiarity with HPC, research and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation If you meet most of the required list and few of the second list, we would still like to hear from you. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $141,400 - $212,100 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are hiring experienced Systems Software Engineers across multiple NetApp engineering organizations. This pipeline posting is designed to attract strong C/C++ systems-level engineers who can contribute to core storage and data management technologies across ONTAP and other NetApp products. Candidates will be considered for roles on several teams, including ONTAP, WAFL, Replication/HA, Protocols (NFS/SMB/SAN/NVMe), Distributed Systems, Cloud Platforms, and Performance Engineering. Engineers in these roles design, build, and optimize foundational components of NetApp's storage stack. You will work on real-world problems involving filesystems, storage internals, distributed systems, performance, scalability, reliability, and data integrity. Work may include developing new features, enhancing subsystems, analyzing complex code paths, improving throughput and latency, debugging customer issues, or driving proofs of concept. You will collaborate with senior engineers, product teams, hardware teams, and cloud engineering groups to deliver high-quality software used globally by enterprise customers. This posting can support multiple levels (3, 4, and 5). Team and level placement will be determined during the interview process based on experience, technical depth, and demonstrated capabilities. Job Requirements Core Responsibilities (All Levels) Design, implement, and enhance features within ONTAP and related NetApp storage systems Write high-quality C/C++ code that is efficient, reliable, and maintainable Analyze and improve existing code paths for performance, scalability, and correctness Debug complex issues using system-level tools, logs, tracing, and profiling Collaborate across engineering teams, including filesystem, protocol, cloud, hardware, and QA Participate in design and code reviews, contributing to engineering best practices Investigate performance bottlenecks and implement optimizations Support prototyping, research, and feasibility analysis for new ideas and features Communicate design decisions, technical findings, and progress clearly with peers Use AI-assisted tools to accelerate design, development, testing, and troubleshooting Level Specific Requirements Software Engineer 3 (5-8 years) Owns well-defined components or features Implements end-to-end functionality with guidance Performs profiling, debugging, and testing across subsystems Contributes to design discussions and supports cross-team integration Ramps quickly on ONTAP, WAFL, protocols, or storage technologies Software Engineer 4 (9-15 years ) Designs and owns complex subsystems or multi-sprint epics Drives cross-team delivery with minimal supervision Mentors junior and mid-level engineers Leads deep-dive debugging and performance analysis Improves reliability, observability, and architecture patterns Software Engineer 5 (12-16 years) Leads major technical initiatives across teams or product line Defines long-term architectural direction and technical strategy Resolves highly complex system-wide issues in performance, data integrity, HA, scale, or protocols Mentors senior engineers and influences engineering culture Demonstrates deep domain expertise in filesystems, operating systems, HA/replication, or distributed systems Qualifications Required Technical Qualifications Strong proficiency in C/C++ for systems-level development Understanding of data structures, algorithms, memory management, and concurrency Experience with Unix/Linux systems programming Experience with one or more: filesystems, storage systems, networking/protocol stacks, distributed systems, high-availability architectures Strong debugging and performance analysis skills (gdb, perf, tracing, profiling tools) Ability to write maintainable, well-documented code Effective communication and collaboration skills Qualifications that make you stand out: Experience with ONTAP, WAFL, or similar storage operating systems Experience with NFS, SMB, SAN (iSCSI/FC), NVMe/TCP, NVMe-oF Experience with replication, clustering, HA, or consistency protocols Familiarity with cloud platforms (AWS, Azure, GCP, OCI) Exposure to kernel subsystems, VFS, IO schedulers, caching, or media management Experience with distributed systems design and large-scale performance tuning Knowledge of CI/CD, test automation, and modern development practices Education Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Equivalent practical experience considered Compensation: The target salary range for this position is $120,000 - $280,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
09/28/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are hiring experienced Systems Software Engineers across multiple NetApp engineering organizations. This pipeline posting is designed to attract strong C/C++ systems-level engineers who can contribute to core storage and data management technologies across ONTAP and other NetApp products. Candidates will be considered for roles on several teams, including ONTAP, WAFL, Replication/HA, Protocols (NFS/SMB/SAN/NVMe), Distributed Systems, Cloud Platforms, and Performance Engineering. Engineers in these roles design, build, and optimize foundational components of NetApp's storage stack. You will work on real-world problems involving filesystems, storage internals, distributed systems, performance, scalability, reliability, and data integrity. Work may include developing new features, enhancing subsystems, analyzing complex code paths, improving throughput and latency, debugging customer issues, or driving proofs of concept. You will collaborate with senior engineers, product teams, hardware teams, and cloud engineering groups to deliver high-quality software used globally by enterprise customers. This posting can support multiple levels (3, 4, and 5). Team and level placement will be determined during the interview process based on experience, technical depth, and demonstrated capabilities. Job Requirements Core Responsibilities (All Levels) Design, implement, and enhance features within ONTAP and related NetApp storage systems Write high-quality C/C++ code that is efficient, reliable, and maintainable Analyze and improve existing code paths for performance, scalability, and correctness Debug complex issues using system-level tools, logs, tracing, and profiling Collaborate across engineering teams, including filesystem, protocol, cloud, hardware, and QA Participate in design and code reviews, contributing to engineering best practices Investigate performance bottlenecks and implement optimizations Support prototyping, research, and feasibility analysis for new ideas and features Communicate design decisions, technical findings, and progress clearly with peers Use AI-assisted tools to accelerate design, development, testing, and troubleshooting Level Specific Requirements Software Engineer 3 (5-8 years) Owns well-defined components or features Implements end-to-end functionality with guidance Performs profiling, debugging, and testing across subsystems Contributes to design discussions and supports cross-team integration Ramps quickly on ONTAP, WAFL, protocols, or storage technologies Software Engineer 4 (9-15 years ) Designs and owns complex subsystems or multi-sprint epics Drives cross-team delivery with minimal supervision Mentors junior and mid-level engineers Leads deep-dive debugging and performance analysis Improves reliability, observability, and architecture patterns Software Engineer 5 (12-16 years) Leads major technical initiatives across teams or product line Defines long-term architectural direction and technical strategy Resolves highly complex system-wide issues in performance, data integrity, HA, scale, or protocols Mentors senior engineers and influences engineering culture Demonstrates deep domain expertise in filesystems, operating systems, HA/replication, or distributed systems Qualifications Required Technical Qualifications Strong proficiency in C/C++ for systems-level development Understanding of data structures, algorithms, memory management, and concurrency Experience with Unix/Linux systems programming Experience with one or more: filesystems, storage systems, networking/protocol stacks, distributed systems, high-availability architectures Strong debugging and performance analysis skills (gdb, perf, tracing, profiling tools) Ability to write maintainable, well-documented code Effective communication and collaboration skills Qualifications that make you stand out: Experience with ONTAP, WAFL, or similar storage operating systems Experience with NFS, SMB, SAN (iSCSI/FC), NVMe/TCP, NVMe-oF Experience with replication, clustering, HA, or consistency protocols Familiarity with cloud platforms (AWS, Azure, GCP, OCI) Exposure to kernel subsystems, VFS, IO schedulers, caching, or media management Experience with distributed systems design and large-scale performance tuning Knowledge of CI/CD, test automation, and modern development practices Education Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Equivalent practical experience considered Compensation: The target salary range for this position is $120,000 - $280,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
09/28/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
09/28/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . click apply for full job details
09/28/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . click apply for full job details
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . click apply for full job details
09/28/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . click apply for full job details
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are hiring experienced Systems Software Engineers across multiple NetApp engineering organizations. This pipeline posting is designed to attract strong C/C++ systems-level engineers who can contribute to core storage and data management technologies across ONTAP and other NetApp products. Candidates will be considered for roles on several teams, including ONTAP, WAFL, Replication/HA, Protocols (NFS/SMB/SAN/NVMe), Distributed Systems, Cloud Platforms, and Performance Engineering. Engineers in these roles design, build, and optimize foundational components of NetApp's storage stack. You will work on real-world problems involving filesystems, storage internals, distributed systems, performance, scalability, reliability, and data integrity. Work may include developing new features, enhancing subsystems, analyzing complex code paths, improving throughput and latency, debugging customer issues, or driving proofs of concept. You will collaborate with senior engineers, product teams, hardware teams, and cloud engineering groups to deliver high-quality software used globally by enterprise customers. This posting can support multiple levels (3, 4, and 5). Team and level placement will be determined during the interview process based on experience, technical depth, and demonstrated capabilities. Job Requirements Core Responsibilities (All Levels) Design, implement, and enhance features within ONTAP and related NetApp storage systems Write high-quality C/C++ code that is efficient, reliable, and maintainable Analyze and improve existing code paths for performance, scalability, and correctness Debug complex issues using system-level tools, logs, tracing, and profiling Collaborate across engineering teams, including filesystem, protocol, cloud, hardware, and QA Participate in design and code reviews, contributing to engineering best practices Investigate performance bottlenecks and implement optimizations Support prototyping, research, and feasibility analysis for new ideas and features Communicate design decisions, technical findings, and progress clearly with peers Use AI-assisted tools to accelerate design, development, testing, and troubleshooting Level Specific Requirements Software Engineer 3 (5-8 years) Owns well-defined components or features Implements end-to-end functionality with guidance Performs profiling, debugging, and testing across subsystems Contributes to design discussions and supports cross-team integration Ramps quickly on ONTAP, WAFL, protocols, or storage technologies Software Engineer 4 (9-15 years ) Designs and owns complex subsystems or multi-sprint epics Drives cross-team delivery with minimal supervision Mentors junior and mid-level engineers Leads deep-dive debugging and performance analysis Improves reliability, observability, and architecture patterns Software Engineer 5 (12-16 years) Leads major technical initiatives across teams or product line Defines long-term architectural direction and technical strategy Resolves highly complex system-wide issues in performance, data integrity, HA, scale, or protocols Mentors senior engineers and influences engineering culture Demonstrates deep domain expertise in filesystems, operating systems, HA/replication, or distributed systems Qualifications Required Technical Qualifications Strong proficiency in C/C++ for systems-level development Understanding of data structures, algorithms, memory management, and concurrency Experience with Unix/Linux systems programming Experience with one or more: filesystems, storage systems, networking/protocol stacks, distributed systems, high-availability architectures Strong debugging and performance analysis skills (gdb, perf, tracing, profiling tools) Ability to write maintainable, well-documented code Effective communication and collaboration skills Qualifications that make you stand out: Experience with ONTAP, WAFL, or similar storage operating systems Experience with NFS, SMB, SAN (iSCSI/FC), NVMe/TCP, NVMe-oF Experience with replication, clustering, HA, or consistency protocols Familiarity with cloud platforms (AWS, Azure, GCP, OCI) Exposure to kernel subsystems, VFS, IO schedulers, caching, or media management Experience with distributed systems design and large-scale performance tuning Knowledge of CI/CD, test automation, and modern development practices Education Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Equivalent practical experience considered Compensation: The target salary range for this position is $120,000 - $280,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
09/28/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are hiring experienced Systems Software Engineers across multiple NetApp engineering organizations. This pipeline posting is designed to attract strong C/C++ systems-level engineers who can contribute to core storage and data management technologies across ONTAP and other NetApp products. Candidates will be considered for roles on several teams, including ONTAP, WAFL, Replication/HA, Protocols (NFS/SMB/SAN/NVMe), Distributed Systems, Cloud Platforms, and Performance Engineering. Engineers in these roles design, build, and optimize foundational components of NetApp's storage stack. You will work on real-world problems involving filesystems, storage internals, distributed systems, performance, scalability, reliability, and data integrity. Work may include developing new features, enhancing subsystems, analyzing complex code paths, improving throughput and latency, debugging customer issues, or driving proofs of concept. You will collaborate with senior engineers, product teams, hardware teams, and cloud engineering groups to deliver high-quality software used globally by enterprise customers. This posting can support multiple levels (3, 4, and 5). Team and level placement will be determined during the interview process based on experience, technical depth, and demonstrated capabilities. Job Requirements Core Responsibilities (All Levels) Design, implement, and enhance features within ONTAP and related NetApp storage systems Write high-quality C/C++ code that is efficient, reliable, and maintainable Analyze and improve existing code paths for performance, scalability, and correctness Debug complex issues using system-level tools, logs, tracing, and profiling Collaborate across engineering teams, including filesystem, protocol, cloud, hardware, and QA Participate in design and code reviews, contributing to engineering best practices Investigate performance bottlenecks and implement optimizations Support prototyping, research, and feasibility analysis for new ideas and features Communicate design decisions, technical findings, and progress clearly with peers Use AI-assisted tools to accelerate design, development, testing, and troubleshooting Level Specific Requirements Software Engineer 3 (5-8 years) Owns well-defined components or features Implements end-to-end functionality with guidance Performs profiling, debugging, and testing across subsystems Contributes to design discussions and supports cross-team integration Ramps quickly on ONTAP, WAFL, protocols, or storage technologies Software Engineer 4 (9-15 years ) Designs and owns complex subsystems or multi-sprint epics Drives cross-team delivery with minimal supervision Mentors junior and mid-level engineers Leads deep-dive debugging and performance analysis Improves reliability, observability, and architecture patterns Software Engineer 5 (12-16 years) Leads major technical initiatives across teams or product line Defines long-term architectural direction and technical strategy Resolves highly complex system-wide issues in performance, data integrity, HA, scale, or protocols Mentors senior engineers and influences engineering culture Demonstrates deep domain expertise in filesystems, operating systems, HA/replication, or distributed systems Qualifications Required Technical Qualifications Strong proficiency in C/C++ for systems-level development Understanding of data structures, algorithms, memory management, and concurrency Experience with Unix/Linux systems programming Experience with one or more: filesystems, storage systems, networking/protocol stacks, distributed systems, high-availability architectures Strong debugging and performance analysis skills (gdb, perf, tracing, profiling tools) Ability to write maintainable, well-documented code Effective communication and collaboration skills Qualifications that make you stand out: Experience with ONTAP, WAFL, or similar storage operating systems Experience with NFS, SMB, SAN (iSCSI/FC), NVMe/TCP, NVMe-oF Experience with replication, clustering, HA, or consistency protocols Familiarity with cloud platforms (AWS, Azure, GCP, OCI) Exposure to kernel subsystems, VFS, IO schedulers, caching, or media management Experience with distributed systems design and large-scale performance tuning Knowledge of CI/CD, test automation, and modern development practices Education Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Equivalent practical experience considered Compensation: The target salary range for this position is $120,000 - $280,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD
09/28/2026
Full time
Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
AI Engineer 4 (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
AI Engineer 4 (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Perma-Fix Environmental Services, Inc.
Richland, Washington
Job Description Job Description Description: Location: Tri-Cities, WA Travel: Up to 20% Reports To: Corporate VP of IS The IS Specialist III serves as the primary on-site technology leader supporting a multi-site operation of 50-200 users. This role ensures stable, secure, and efficient IT operations while coordinating closely with the Corporate IS team for advanced engineering, development, cybersecurity, and infrastructure initiatives. This is a senior-level technical generalist role combining Windows infrastructure support, business systems reporting, project coordination, industrial systems integration, and local technical leadership. The position is hands-on and part of the broader corporate IS team, which includes senior infrastructure engineers, developers, helpdesk, and junior development resources. Duties Infrastructure & Systems Operations (Primary Focus) Serve as the local lead for Windows-based infrastructure (Windows 10/11, Microsoft 365, Active Directory, core software platforms, hardware systems, and web services). Coordinate with the corporate infrastructure team on network support, backup and disaster recovery, endpoint management, and server lifecycle planning. Escalate complex issues appropriately while maintaining local ownership and accountability. Maintain documentation of systems, diagrams, configurations, and asset inventories. Assist with user provisioning, workstation deployments, and site-level hardware standards. Project Coordination & Implementation Lead site-level technology projects from requirements gathering through deployment. Coordinate with corporate developers and infrastructure engineers on larger initiatives. Manage timelines, vendor engagement, testing, and deployment activities. Evaluate new software and hardware solutions and provide structured recommendations. Assist with task estimation, prioritization, ROI evaluation, and project documentation. Hardware Integration & Operational Support Support integration of industrial or facility systems with enterprise IT infrastructure. Coordinate system integration between hardware platforms and internal software applications. Maintain appropriate segmentation between operational and corporate systems. Security & Compliance Support Ensure local systems adhere to corporate cybersecurity policies. Support NIST 800-171 and Sarbanes-Oxley-aligned controls in coordination with Corporate IS. Assist with audits through documentation, evidence gathering, and change control support. Promote secure configuration standards and end-user security best practices. Business Systems Lead & Reporting Participate in the SDLC for waste tracking, procurement, accounting, asset management, and ancillary information systems initiatives. Develop and maintain SQL queries and SQL Server reports (SQL, SSRS, RDL). Partner with operations to develop business requirements, validate system designs, update system documentation, and oversee implementation. Assist with data validation, testing, and minor integrations. Requirements: 10+ years of progressive IT experience in systems administration, infrastructure, or business systems roles; OR a four-year related degree with 5+ years of relevant experience. Strong Microsoft ecosystem experience (Windows Server/Client, Active Directory). Solid SQL experience (query writing, stored procedures, SSRS development). Experience supporting multi-site or distributed operations. Ability to manage technical priorities independently in an operational environment. Strong written and verbal communication skills across technical and non-technical stakeholders. Prefered Experience Experience in regulated or industrial environments. Experience with .NET, Go, JavaScript, C#, or other development environments. Familiarity with waste tracking, ERP, or accounting systems. Working knowledge of network fundamentals (firewalls, VLANs, VPN). Experience coordinating technical projects. Understanding of API integrations and data exchange models. This role serves as a senior embedded technical leader and operational bridge between site operations and Corporate IS. It provides hands-on technical support, business systems insight, and practical project leadership while leveraging centralized corporate expertise for deep engineering and development functions.
09/28/2026
Full time
Job Description Job Description Description: Location: Tri-Cities, WA Travel: Up to 20% Reports To: Corporate VP of IS The IS Specialist III serves as the primary on-site technology leader supporting a multi-site operation of 50-200 users. This role ensures stable, secure, and efficient IT operations while coordinating closely with the Corporate IS team for advanced engineering, development, cybersecurity, and infrastructure initiatives. This is a senior-level technical generalist role combining Windows infrastructure support, business systems reporting, project coordination, industrial systems integration, and local technical leadership. The position is hands-on and part of the broader corporate IS team, which includes senior infrastructure engineers, developers, helpdesk, and junior development resources. Duties Infrastructure & Systems Operations (Primary Focus) Serve as the local lead for Windows-based infrastructure (Windows 10/11, Microsoft 365, Active Directory, core software platforms, hardware systems, and web services). Coordinate with the corporate infrastructure team on network support, backup and disaster recovery, endpoint management, and server lifecycle planning. Escalate complex issues appropriately while maintaining local ownership and accountability. Maintain documentation of systems, diagrams, configurations, and asset inventories. Assist with user provisioning, workstation deployments, and site-level hardware standards. Project Coordination & Implementation Lead site-level technology projects from requirements gathering through deployment. Coordinate with corporate developers and infrastructure engineers on larger initiatives. Manage timelines, vendor engagement, testing, and deployment activities. Evaluate new software and hardware solutions and provide structured recommendations. Assist with task estimation, prioritization, ROI evaluation, and project documentation. Hardware Integration & Operational Support Support integration of industrial or facility systems with enterprise IT infrastructure. Coordinate system integration between hardware platforms and internal software applications. Maintain appropriate segmentation between operational and corporate systems. Security & Compliance Support Ensure local systems adhere to corporate cybersecurity policies. Support NIST 800-171 and Sarbanes-Oxley-aligned controls in coordination with Corporate IS. Assist with audits through documentation, evidence gathering, and change control support. Promote secure configuration standards and end-user security best practices. Business Systems Lead & Reporting Participate in the SDLC for waste tracking, procurement, accounting, asset management, and ancillary information systems initiatives. Develop and maintain SQL queries and SQL Server reports (SQL, SSRS, RDL). Partner with operations to develop business requirements, validate system designs, update system documentation, and oversee implementation. Assist with data validation, testing, and minor integrations. Requirements: 10+ years of progressive IT experience in systems administration, infrastructure, or business systems roles; OR a four-year related degree with 5+ years of relevant experience. Strong Microsoft ecosystem experience (Windows Server/Client, Active Directory). Solid SQL experience (query writing, stored procedures, SSRS development). Experience supporting multi-site or distributed operations. Ability to manage technical priorities independently in an operational environment. Strong written and verbal communication skills across technical and non-technical stakeholders. Prefered Experience Experience in regulated or industrial environments. Experience with .NET, Go, JavaScript, C#, or other development environments. Familiarity with waste tracking, ERP, or accounting systems. Working knowledge of network fundamentals (firewalls, VLANs, VPN). Experience coordinating technical projects. Understanding of API integrations and data exchange models. This role serves as a senior embedded technical leader and operational bridge between site operations and Corporate IS. It provides hands-on technical support, business systems insight, and practical project leadership while leveraging centralized corporate expertise for deep engineering and development functions.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
09/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer - Data Protection, you will be responsible for designing, implementing, maintaining, and troubleshooting our data backup, recovery, and cyber resiliency solutions. This role is critical for ensuring business continuity, data integrity, and the protection of our organization's valuable information against data loss, system failures, and cyber threats. You will create, modify, maintain and support infrastructure system components that enable IT Services. You will balance availability, security, efficiency and functional requirements to help provide an optimized production service. You will also identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Drives data protection transformation initiatives focused on simplification, standardization, resilience, and operational efficiency, alongside developing engineering standards, implementation plans, and technical documentation. Architects and deploys data protection solutions for Virtual Hosts, SQL, NO-SQL, DB2, Oracle distributed workloads, as well as cloud (Azure and AWS), SaaS, and Active Directory workloads. Supports critical operational automation, requiring the development and implementation of Infrastructure-as-Code solutions, automated workflows, and process improvements to streamline operations and enhance deployment consistency. Maintains focus on regulatory compliance, business continuity, cyber resilience, and assurance of data integrity and immutability. Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on process and business solution improvements. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Education: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in designing, implementing and maintaining data backup, recovery, and cyber resiliency infrastructure. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. Demonstrated experience working with image-based backup solutions, virtualized infrastructure, database backups, and disaster recovery. What sets you apart: Experience in developing, deploying and maintaining large scale backup/recovery solutions. Experience in implementing cyber recovery solutions that includes ability to detect and respond to threats and quickly restore operations. Experience developing and maintaining automated restore orchestration. Experience working in an environment with strict federal regulations and operational control standards designed to ensure business continuity, data integrity and privacy. Rubrik Certifications such as Rubrik Certified System Administrator (RCSA) and Rubrik Certified Cloud Specialist (RCCS) Automation experience with Ansible. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer - Data Protection, you will be responsible for designing, implementing, maintaining, and troubleshooting our data backup, recovery, and cyber resiliency solutions. This role is critical for ensuring business continuity, data integrity, and the protection of our organization's valuable information against data loss, system failures, and cyber threats. You will create, modify, maintain and support infrastructure system components that enable IT Services. You will balance availability, security, efficiency and functional requirements to help provide an optimized production service. You will also identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Drives data protection transformation initiatives focused on simplification, standardization, resilience, and operational efficiency, alongside developing engineering standards, implementation plans, and technical documentation. Architects and deploys data protection solutions for Virtual Hosts, SQL, NO-SQL, DB2, Oracle distributed workloads, as well as cloud (Azure and AWS), SaaS, and Active Directory workloads. Supports critical operational automation, requiring the development and implementation of Infrastructure-as-Code solutions, automated workflows, and process improvements to streamline operations and enhance deployment consistency. Maintains focus on regulatory compliance, business continuity, cyber resilience, and assurance of data integrity and immutability. Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on process and business solution improvements. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Education: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in designing, implementing and maintaining data backup, recovery, and cyber resiliency infrastructure. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. Demonstrated experience working with image-based backup solutions, virtualized infrastructure, database backups, and disaster recovery. What sets you apart: Experience in developing, deploying and maintaining large scale backup/recovery solutions. Experience in implementing cyber recovery solutions that includes ability to detect and respond to threats and quickly restore operations. Experience developing and maintaining automated restore orchestration. Experience working in an environment with strict federal regulations and operational control standards designed to ensure business continuity, data integrity and privacy. Rubrik Certifications such as Rubrik Certified System Administrator (RCSA) and Rubrik Certified Cloud Specialist (RCCS) Automation experience with Ansible. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
09/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer - Data Protection, you will be responsible for designing, implementing, maintaining, and troubleshooting our data backup, recovery, and cyber resiliency solutions. This role is critical for ensuring business continuity, data integrity, and the protection of our organization's valuable information against data loss, system failures, and cyber threats. You will create, modify, maintain and support infrastructure system components that enable IT Services. You will balance availability, security, efficiency and functional requirements to help provide an optimized production service. You will also identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Drives data protection transformation initiatives focused on simplification, standardization, resilience, and operational efficiency, alongside developing engineering standards, implementation plans, and technical documentation. Architects and deploys data protection solutions for Virtual Hosts, SQL, NO-SQL, DB2, Oracle distributed workloads, as well as cloud (Azure and AWS), SaaS, and Active Directory workloads. Supports critical operational automation, requiring the development and implementation of Infrastructure-as-Code solutions, automated workflows, and process improvements to streamline operations and enhance deployment consistency. Maintains focus on regulatory compliance, business continuity, cyber resilience, and assurance of data integrity and immutability. Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on process and business solution improvements. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Education: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in designing, implementing and maintaining data backup, recovery, and cyber resiliency infrastructure. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. Demonstrated experience working with image-based backup solutions, virtualized infrastructure, database backups, and disaster recovery. What sets you apart: Experience in developing, deploying and maintaining large scale backup/recovery solutions. Experience in implementing cyber recovery solutions that includes ability to detect and respond to threats and quickly restore operations. Experience developing and maintaining automated restore orchestration. Experience working in an environment with strict federal regulations and operational control standards designed to ensure business continuity, data integrity and privacy. Rubrik Certifications such as Rubrik Certified System Administrator (RCSA) and Rubrik Certified Cloud Specialist (RCCS) Automation experience with Ansible. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer - Data Protection, you will be responsible for designing, implementing, maintaining, and troubleshooting our data backup, recovery, and cyber resiliency solutions. This role is critical for ensuring business continuity, data integrity, and the protection of our organization's valuable information against data loss, system failures, and cyber threats. You will create, modify, maintain and support infrastructure system components that enable IT Services. You will balance availability, security, efficiency and functional requirements to help provide an optimized production service. You will also identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Drives data protection transformation initiatives focused on simplification, standardization, resilience, and operational efficiency, alongside developing engineering standards, implementation plans, and technical documentation. Architects and deploys data protection solutions for Virtual Hosts, SQL, NO-SQL, DB2, Oracle distributed workloads, as well as cloud (Azure and AWS), SaaS, and Active Directory workloads. Supports critical operational automation, requiring the development and implementation of Infrastructure-as-Code solutions, automated workflows, and process improvements to streamline operations and enhance deployment consistency. Maintains focus on regulatory compliance, business continuity, cyber resilience, and assurance of data integrity and immutability. Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on process and business solution improvements. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Education: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in designing, implementing and maintaining data backup, recovery, and cyber resiliency infrastructure. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. Demonstrated experience working with image-based backup solutions, virtualized infrastructure, database backups, and disaster recovery. What sets you apart: Experience in developing, deploying and maintaining large scale backup/recovery solutions. Experience in implementing cyber recovery solutions that includes ability to detect and respond to threats and quickly restore operations. Experience developing and maintaining automated restore orchestration. Experience working in an environment with strict federal regulations and operational control standards designed to ensure business continuity, data integrity and privacy. Rubrik Certifications such as Rubrik Certified System Administrator (RCSA) and Rubrik Certified Cloud Specialist (RCCS) Automation experience with Ansible. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer - Mainframe, you will be responsible for creating, modifying, maintaining and supporting infrastructure and individual and integrated system components and solutions that enable IT Services. You will balance availability, security, efficiency and functional requirements to help provide an optimized production service. You will also identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, or Plano, TX. Relocation assistance is not available for this position. What you'll do: Administer and maintain the IBM z/OS operating system and supporting software products across development, test, disaster recovery, and production environments. Plan, install, configure, and support z/OS upgrades, RSU maintenance, SMP/E software maintenance, and product deployments. Ensure system availability, resilience, performance, and capacity management of the mainframe platform. Perform scheduling, monitoring, and operational tooling to improve efficiency and reduce manual effort. Support core z/OS subsystems including JES2, USS, TSO/E, RACF, HCD/HCM, SMP/E, SDSF, and system utilities. Implement security controls, vulnerability remediation, audit findings, and compliance requirements. Perform incident troubleshooting, root cause analysis, and problem management for infrastructure-related issues. Maintain disaster recovery readiness and support recovery testing and business continuity initiatives. Develop and maintain automation using Assembler, REXX, Python, JCL, Ansible and other platform tooling. Partner with application, database, storage, network, security, and vendor teams to deliver infrastructure solutions. Create and maintain technical documentation, standards, procedures, and engineering runbooks. Evaluate emerging technologies and modernization opportunities to improve platform capabilities and reduce operational risk. Independently design scalable IT system infrastructure, providing oversight and priority for system change - reserve execution for complex implementations, and automate service delivery and maintenance tasks; provide direction and priority for monitoring and tooling activities. Independently resolve highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Lead analysis of end-to-end system failures to identify opportunities across multiple systems. Make recommendations to business leaders on best solutions. Independently experiment with new patterns and technologies. Help establish and improve engineering best practices, concepts, and patterns with peers and the business. Understand the customer and proactively identify innovative solutions and ideas for the product/business. Mentor engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience 6 years of infrastructure experience demonstrating depth of technical understanding to include an understanding of mainframe infrastructure and z/OS. 4 years of experience in creating, modifying, and maintaining infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Assembler Programming skills, including development, maintenance, and debugging of system-level components. Extensive experience with SMP/E software installation, maintenance, service management, and product lifecycle support. Knowledge of RACF security administration, auditing, compliance controls, and access management. Proven experience in Dump Analysis and Debugging, including IPCS and system diagnostic tools. Advanced skills in Problem Determination, root cause analysis, performance tuning, and resolution of complex z/OS infrastructure issues. Proficiency with IDCAMS, catalog management, VSAM administration, and storage-related utilities. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer - Mainframe, you will be responsible for creating, modifying, maintaining and supporting infrastructure and individual and integrated system components and solutions that enable IT Services. You will balance availability, security, efficiency and functional requirements to help provide an optimized production service. You will also identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, or Plano, TX. Relocation assistance is not available for this position. What you'll do: Administer and maintain the IBM z/OS operating system and supporting software products across development, test, disaster recovery, and production environments. Plan, install, configure, and support z/OS upgrades, RSU maintenance, SMP/E software maintenance, and product deployments. Ensure system availability, resilience, performance, and capacity management of the mainframe platform. Perform scheduling, monitoring, and operational tooling to improve efficiency and reduce manual effort. Support core z/OS subsystems including JES2, USS, TSO/E, RACF, HCD/HCM, SMP/E, SDSF, and system utilities. Implement security controls, vulnerability remediation, audit findings, and compliance requirements. Perform incident troubleshooting, root cause analysis, and problem management for infrastructure-related issues. Maintain disaster recovery readiness and support recovery testing and business continuity initiatives. Develop and maintain automation using Assembler, REXX, Python, JCL, Ansible and other platform tooling. Partner with application, database, storage, network, security, and vendor teams to deliver infrastructure solutions. Create and maintain technical documentation, standards, procedures, and engineering runbooks. Evaluate emerging technologies and modernization opportunities to improve platform capabilities and reduce operational risk. Independently design scalable IT system infrastructure, providing oversight and priority for system change - reserve execution for complex implementations, and automate service delivery and maintenance tasks; provide direction and priority for monitoring and tooling activities. Independently resolve highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Lead analysis of end-to-end system failures to identify opportunities across multiple systems. Make recommendations to business leaders on best solutions. Independently experiment with new patterns and technologies. Help establish and improve engineering best practices, concepts, and patterns with peers and the business. Understand the customer and proactively identify innovative solutions and ideas for the product/business. Mentor engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience 6 years of infrastructure experience demonstrating depth of technical understanding to include an understanding of mainframe infrastructure and z/OS. 4 years of experience in creating, modifying, and maintaining infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Assembler Programming skills, including development, maintenance, and debugging of system-level components. Extensive experience with SMP/E software installation, maintenance, service management, and product lifecycle support. Knowledge of RACF security administration, auditing, compliance controls, and access management. Proven experience in Dump Analysis and Debugging, including IPCS and system diagnostic tools. Advanced skills in Problem Determination, root cause analysis, performance tuning, and resolution of complex z/OS infrastructure issues. Proficiency with IDCAMS, catalog management, VSAM administration, and storage-related utilities. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
09/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
