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.
08/24/2026
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.
08/24/2026
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.
08/24/2026
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 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.
08/24/2026
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 About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people - and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you're in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can't happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers. Job Purpose A Senior Software Engineer is responsible for leading software development projects, designing and implementing solutions, and ensuring code quality. They will play a critical role in supporting the delivery of cloud-based applications, focusing on the use of consistent high-quality data across various platforms. They also mentor junior engineers, contribute to technical strategy, and collaborate with cross-functional teams. Their role involves a mix of technical expertise and leadership to drive the development of high-quality software. Key Responsibilities Develop, support, and maintain robust, scalable cloud solutions that handle enterprise data with a high degree of consistency and reliability. Ensure our systems are reliable, scalable, and observable as we grow globally. Actively support our incident response process and support on call as needed. Support, maintain, and own the platform including responding to alerts, outages, and other customer impacting events. Lead project planning, including creating sequence diagrams, flowcharts, and task breakdowns for team execution. Work as a member of a software team to generate working software within a sprint cycle. Keep abreast of new developments in the fields of engineering design, methods, and applications. Create and update documentation for designs and software implementations. Provide Engineering assistance and troubleshooting to internal teams or external customers. Conduct code reviews, ensuring adherence to enterprise development standards by providing critical feedback and suggestions. Deliver mentorship and collaborate with team members through pair programming and interactive sessions to upskill others. Work closely with global teams, ensuring seamless integration and functionality across platforms. Experience Required Experienced engineer with 5+ years of career experience, with Bachelor's degree. 3+ years experience with Master's degree. Or equivalent combination of education and experience writing commercialized software in a professional environment. Strong experience in .NET Core, C# and Entity Framework. Proficiency in writing efficient SQL for databases such as PostgreSQL and Microsoft SQL. Experience with major cloud platforms such as Azure, AWS, or equivalent. Familiarity with containerization and orchestration such as Docker or Kubernetes. Proficiency in Git and familiarity with change tracking tools. Deep knowledge of monitoring, observability, and logging tools such as Datadog or Grafana. Experience with CI/CD pipelines and infrastructure-as-code such as Terraform. Strong understanding of REST and SOAP APIs, and integration with external APIs. Strong ability to debug and trouble shoot software and system issues. Well-developed problem analysis and problem-solving techniques. Team player who is self-motivated and has ability to work with minimal supervision. Demonstrated leadership abilities. Capable of defining appropriate approaches and solutions. Furthers knowledge of profession through continued education and/or seeking or providing mentorship. Preferred Qualifications Knowledge of SLOs, SLIs, and error budgeting. Familiarity with Atlassian tools Agile development methodologies. Experience with Apache Kafka and MongoDB is a plus. Understanding of Precision Agriculture technology and uses. Pay Transparency The annual salary for this role is $105,750 - $141,000 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.) What We Offer At CNH, our people are at the heart of everything we do. That's why we offer a comprehensive benefits program designed to support your health, well-being, and long-term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered-both personally and professionally. We believe that when you're given the tools to thrive, you can drive meaningful impact. At CNH, you'll not only find the resources to succeed today-you'll find the foundation to grow a career and build a future. Click here to learn more about our benefits offerings! (US only) US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "Know Your Rights" poster here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here. Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation. If you need reasonable accommodation with the application process, please contact us at .
08/23/2026
Full time
Job Description About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people - and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you're in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can't happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers. Job Purpose A Senior Software Engineer is responsible for leading software development projects, designing and implementing solutions, and ensuring code quality. They will play a critical role in supporting the delivery of cloud-based applications, focusing on the use of consistent high-quality data across various platforms. They also mentor junior engineers, contribute to technical strategy, and collaborate with cross-functional teams. Their role involves a mix of technical expertise and leadership to drive the development of high-quality software. Key Responsibilities Develop, support, and maintain robust, scalable cloud solutions that handle enterprise data with a high degree of consistency and reliability. Ensure our systems are reliable, scalable, and observable as we grow globally. Actively support our incident response process and support on call as needed. Support, maintain, and own the platform including responding to alerts, outages, and other customer impacting events. Lead project planning, including creating sequence diagrams, flowcharts, and task breakdowns for team execution. Work as a member of a software team to generate working software within a sprint cycle. Keep abreast of new developments in the fields of engineering design, methods, and applications. Create and update documentation for designs and software implementations. Provide Engineering assistance and troubleshooting to internal teams or external customers. Conduct code reviews, ensuring adherence to enterprise development standards by providing critical feedback and suggestions. Deliver mentorship and collaborate with team members through pair programming and interactive sessions to upskill others. Work closely with global teams, ensuring seamless integration and functionality across platforms. Experience Required Experienced engineer with 5+ years of career experience, with Bachelor's degree. 3+ years experience with Master's degree. Or equivalent combination of education and experience writing commercialized software in a professional environment. Strong experience in .NET Core, C# and Entity Framework. Proficiency in writing efficient SQL for databases such as PostgreSQL and Microsoft SQL. Experience with major cloud platforms such as Azure, AWS, or equivalent. Familiarity with containerization and orchestration such as Docker or Kubernetes. Proficiency in Git and familiarity with change tracking tools. Deep knowledge of monitoring, observability, and logging tools such as Datadog or Grafana. Experience with CI/CD pipelines and infrastructure-as-code such as Terraform. Strong understanding of REST and SOAP APIs, and integration with external APIs. Strong ability to debug and trouble shoot software and system issues. Well-developed problem analysis and problem-solving techniques. Team player who is self-motivated and has ability to work with minimal supervision. Demonstrated leadership abilities. Capable of defining appropriate approaches and solutions. Furthers knowledge of profession through continued education and/or seeking or providing mentorship. Preferred Qualifications Knowledge of SLOs, SLIs, and error budgeting. Familiarity with Atlassian tools Agile development methodologies. Experience with Apache Kafka and MongoDB is a plus. Understanding of Precision Agriculture technology and uses. Pay Transparency The annual salary for this role is $105,750 - $141,000 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.) What We Offer At CNH, our people are at the heart of everything we do. That's why we offer a comprehensive benefits program designed to support your health, well-being, and long-term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered-both personally and professionally. We believe that when you're given the tools to thrive, you can drive meaningful impact. At CNH, you'll not only find the resources to succeed today-you'll find the foundation to grow a career and build a future. Click here to learn more about our benefits offerings! (US only) US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "Know Your Rights" poster here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here. Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation. If you need reasonable accommodation with the application process, please contact us at .
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Mission Systems (MS) Software Platform Mission Computing (PMPC) Manager to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. As a first line Software Engineering Manager, you will lead and manage a team of Software Engineers responsible for overseeing the design, development, and integration of embedded software solutions that enhance the safety, reliability, and performance of aviation systems specifically focusing on mission systems. You will lead a team of skilled engineers, fostering a culture of innovation, collaboration, and continuous improvement. The ideal candidate will possess strong leadership attributes, a solid technical foundation, and excellent communication skills. This role requires experience in mission systems, modern software development, embedded systems integration, and testing activities. The role will require close collaboration with cross functional Mission Systems teams, and other engineering departments to ensure timely creation and delivery of high-quality software solutions. Responsibilities will also include creating project plans, establishing goals, tracking and managing agile team metrics, and providing technical oversight on team activities. You will be responsible for hiring, training, mentoring, leading process improvements, and employee development initiatives. You will support and present at Program Management Reviews, Technical Reviews, and Program milestones, necessitating strong communication and presentation skills. Position Responsibilities: Lead and manage a diverse team of embedded software engineers performing engineering and technical activities for mission systems Proactively assess and manage software staffing needs; create a healthy talent and skill pipeline to meet project resource timelines Drive technical planning and execution, including analyzing and responding to team agile metrics, Earned Value Management (EVM) duties to ensure the team consistently meets or exceeds planned cost, schedule, technical performance, safety, and quality targets Collaborate effectively with cross-functional teams, including systems engineering, hardware engineering, quality assurance, coworkers, customers, and suppliers to ensure seamless integration of software components, meet all requirements, and efficient and accurate communication throughout the project lifecycle Demonstrate the ability to prioritize and perform multiple tasks simultaneously while maintaining composure and professionalism in stressful situations, with a strong sense of cultural awareness and sensitivity Provide guidance and direction to team members to ensure adherence to Software Engineering Design Practices, Safety Critical standards, Independent Verification & Validation, and other engineering excellence initiatives Mentor and develop engineering talent, fostering a culture of technical excellence, innovation, and professional growth within the team Coordinate with other Boeing Engineering teams in the verification, validation, release and distribution of software product Integrate modern development methodologies and DevSecOps principles to ensure robust software development practices that enhance security, quality, and efficiency throughout the software lifecycle Engage with stakeholders, including customers and regulatory bodies, to communicate project status, address concerns, and ensure alignment with program objectives This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): Position requires an Active Secret US Security Clearance and ability to obtain Top Secret post-start for which the US Government requires US Citizenship Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 1+ years of experience working on and/or leading agile teams 5+ years of experience in an engineering leadership role (either as a lead or a manager) 3+ years of experience in software development life cycles, configuration management and best agile software engineering practices Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Proficiency with DevSecOps and modern Software Development practices Strong communication skills and a natural leadership style that inspires action, motivates excellence, and fosters innovation, while effectively interfacing with senior leadership, customers, and regulatory agencies Demonstrated ability to manage complex projects and deliver results on time and within budget Previous experience in an engineering management and/or team lead position Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $198,050 - $267,950 Applications for this position will be accepted until Sept. 04, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/22/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Mission Systems (MS) Software Platform Mission Computing (PMPC) Manager to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. As a first line Software Engineering Manager, you will lead and manage a team of Software Engineers responsible for overseeing the design, development, and integration of embedded software solutions that enhance the safety, reliability, and performance of aviation systems specifically focusing on mission systems. You will lead a team of skilled engineers, fostering a culture of innovation, collaboration, and continuous improvement. The ideal candidate will possess strong leadership attributes, a solid technical foundation, and excellent communication skills. This role requires experience in mission systems, modern software development, embedded systems integration, and testing activities. The role will require close collaboration with cross functional Mission Systems teams, and other engineering departments to ensure timely creation and delivery of high-quality software solutions. Responsibilities will also include creating project plans, establishing goals, tracking and managing agile team metrics, and providing technical oversight on team activities. You will be responsible for hiring, training, mentoring, leading process improvements, and employee development initiatives. You will support and present at Program Management Reviews, Technical Reviews, and Program milestones, necessitating strong communication and presentation skills. Position Responsibilities: Lead and manage a diverse team of embedded software engineers performing engineering and technical activities for mission systems Proactively assess and manage software staffing needs; create a healthy talent and skill pipeline to meet project resource timelines Drive technical planning and execution, including analyzing and responding to team agile metrics, Earned Value Management (EVM) duties to ensure the team consistently meets or exceeds planned cost, schedule, technical performance, safety, and quality targets Collaborate effectively with cross-functional teams, including systems engineering, hardware engineering, quality assurance, coworkers, customers, and suppliers to ensure seamless integration of software components, meet all requirements, and efficient and accurate communication throughout the project lifecycle Demonstrate the ability to prioritize and perform multiple tasks simultaneously while maintaining composure and professionalism in stressful situations, with a strong sense of cultural awareness and sensitivity Provide guidance and direction to team members to ensure adherence to Software Engineering Design Practices, Safety Critical standards, Independent Verification & Validation, and other engineering excellence initiatives Mentor and develop engineering talent, fostering a culture of technical excellence, innovation, and professional growth within the team Coordinate with other Boeing Engineering teams in the verification, validation, release and distribution of software product Integrate modern development methodologies and DevSecOps principles to ensure robust software development practices that enhance security, quality, and efficiency throughout the software lifecycle Engage with stakeholders, including customers and regulatory bodies, to communicate project status, address concerns, and ensure alignment with program objectives This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): Position requires an Active Secret US Security Clearance and ability to obtain Top Secret post-start for which the US Government requires US Citizenship Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 1+ years of experience working on and/or leading agile teams 5+ years of experience in an engineering leadership role (either as a lead or a manager) 3+ years of experience in software development life cycles, configuration management and best agile software engineering practices Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Proficiency with DevSecOps and modern Software Development practices Strong communication skills and a natural leadership style that inspires action, motivates excellence, and fosters innovation, while effectively interfacing with senior leadership, customers, and regulatory agencies Demonstrated ability to manage complex projects and deliver results on time and within budget Previous experience in an engineering management and/or team lead position Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $198,050 - $267,950 Applications for this position will be accepted until Sept. 04, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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).
08/17/2026
Full time
Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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).
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Site Reliability Engineer Overview The Mastercard Business Operations (BizOps) organization is seeking a Lead BizOps Engineer to serve as a technical authority and operational architect across critical platforms. This role is designed for a senior individual contributor who thrives at system level thinking, drives SRE, DevOps maturity at scale, and influences outcomes across programs, portfolios. As a Lead BizOps Engineer, you will operate beyond a single application or team, shaping reliability strategy, defining standards, and elevating operational excellence across Mastercard's most business critical services. You will partner deeply with product engineering, architecture, security, and leadership to ensure platforms are designed, delivered, and operated with resilience, scalability, and customer trust at their core. If this describes you, you'll feel at home here: You proactively design out operational risk rather than reacting to it. You influence without authority and lead through technical credibility and data. You see CI/CD, automation, observability, and reliability as foundational engineering disciplines, not tooling exercises. BizOps is at the forefront of Mastercard's Operational Resilience evolution, driving modern tooling, standardized practices, and consistent operating models across the enterprise. Mission BizOps acts as the production readiness and operational resilience steward for Mastercard platforms. As a Lead BizOps Engineer, your mission is to embed reliability, operability, and compliance into platform design and delivery, ensuring services are: Highly available, resilient, and performant Observable, self healing, and automation driven Secure, compliant, and auditable by design Operated through repeatable, scalable, low toil processes You will provide continuous feedback loops into engineering and product teams, ensuring lessons learned from production meaningfully improve future designs and customer experience. What We Do in BizOps We deliver this mission through: Deep incident ownership with rigorous root cause analysis tied to business impact A shift left operational mindset, influencing architecture and design before code reaches production Enterprise grade risk management, controls, and compliance oversight Standardized and streamlined support models that reduce friction for partners Bridging product intent and operational reality to deliver reliable, customer centric platforms At the Lead level, you are expected to shape these practices, not just execute them. Key Responsibilities Technical Leadership & Architecture Act as a Lead level technical authority for reliability, operability, and production readiness across multiple platforms or programs. Influence system architecture, design patterns, and platform standards to improve resiliency, scalability, and fault tolerance. Partner with engineering and architecture teams during pre production and roadmap phases to guide capacity planning, failure modeling, and launch readiness. Challenge designs constructively, advocating for operational simplicity, automation, and sustainable on call models. Operational Excellence & Reliability Own and evolve availability, latency, performance, and reliability objectives for critical systems. Lead complex production events and cross platform investigations, reducing MTTR through systemic fixes, not workarounds. Champion blameless postmortems, ensuring remediation actions translate into measurable reliability improvements. Identify recurring failure patterns and drive engineering led elimination of toil. DevOps, CI/CD & Automation Provide leadership for CI/CD strategy, ensuring pipelines support automated validation, risk based gating, and safe, repeatable deployments. Drive adoption of automation first practices across build, deploy, test, recovery, and compliance workflows. Influence DevOps standards across teams, enabling consistent, high quality software delivery at scale. Observability & Self Healing Systems Define and promote standards for monitoring, alerting, SLOs, and telemetry. Enable proactive detection, predictive alerting, and self healing capabilities across platforms. Ensure observability is treated as a first class architectural requirement, not an afterthought. Risk, Controls & Compliance Partner with security, risk, and compliance teams to embed controls, auditability, and regulatory requirements into platform design and operations. Ensure operational practices meet Mastercard's enterprise risk and compliance expectations across all environments. Influence, Mentorship & Thought Leadership Mentor senior and junior engineers, raising the technical bar across the BizOps community. Contribute to guild initiatives, standards, whitepapers, and best practice guidance. Influence leaders and peers through data, experience, and clear technical narratives. Represent BizOps in cross organizational forums as a trusted advisor on reliability and operations. Qualifications Required Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Deep expertise in distributed systems, reliability engineering, and production operations. Strong foundation in algorithms, data structures, system design, and automation. Advanced troubleshooting skills across the full technology stack. Proven ability to drive decisions and outcomes in high pressure, high impact environments. Possess a solid understanding of databases, blob-stores like S3, and load balancers. Proficiency in one or more of: Python, Go, Bash. Extensive hands on experience with DevOps and observability tooling, such as(or similar tools): • Git / Bitbucket • Jenkins / XLR • Chef, Ansible • Splunk • Dynatrace • Demonstrated success building and scaling CI/CD pipelines with minimal manual intervention. Preferred / Deep Expertise Certificate Management, PKI, Authentication & Authorization LDAP, Active Directory Services, Access Provisioning Controls, Audit, and Compliance frameworks SOAP and REST APIs and integration patterns All About You You are strategic yet hands on, able to zoom out to enterprise impact and zoom in to code or configs. You operate with calm authority under pressure. You challenge the status quo with respect and data. You value sustainability, clarity, and engineering excellence. You are motivated by impact, scale, and long term improvement, not just delivery. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. . click apply for full job details
08/16/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Site Reliability Engineer Overview The Mastercard Business Operations (BizOps) organization is seeking a Lead BizOps Engineer to serve as a technical authority and operational architect across critical platforms. This role is designed for a senior individual contributor who thrives at system level thinking, drives SRE, DevOps maturity at scale, and influences outcomes across programs, portfolios. As a Lead BizOps Engineer, you will operate beyond a single application or team, shaping reliability strategy, defining standards, and elevating operational excellence across Mastercard's most business critical services. You will partner deeply with product engineering, architecture, security, and leadership to ensure platforms are designed, delivered, and operated with resilience, scalability, and customer trust at their core. If this describes you, you'll feel at home here: You proactively design out operational risk rather than reacting to it. You influence without authority and lead through technical credibility and data. You see CI/CD, automation, observability, and reliability as foundational engineering disciplines, not tooling exercises. BizOps is at the forefront of Mastercard's Operational Resilience evolution, driving modern tooling, standardized practices, and consistent operating models across the enterprise. Mission BizOps acts as the production readiness and operational resilience steward for Mastercard platforms. As a Lead BizOps Engineer, your mission is to embed reliability, operability, and compliance into platform design and delivery, ensuring services are: Highly available, resilient, and performant Observable, self healing, and automation driven Secure, compliant, and auditable by design Operated through repeatable, scalable, low toil processes You will provide continuous feedback loops into engineering and product teams, ensuring lessons learned from production meaningfully improve future designs and customer experience. What We Do in BizOps We deliver this mission through: Deep incident ownership with rigorous root cause analysis tied to business impact A shift left operational mindset, influencing architecture and design before code reaches production Enterprise grade risk management, controls, and compliance oversight Standardized and streamlined support models that reduce friction for partners Bridging product intent and operational reality to deliver reliable, customer centric platforms At the Lead level, you are expected to shape these practices, not just execute them. Key Responsibilities Technical Leadership & Architecture Act as a Lead level technical authority for reliability, operability, and production readiness across multiple platforms or programs. Influence system architecture, design patterns, and platform standards to improve resiliency, scalability, and fault tolerance. Partner with engineering and architecture teams during pre production and roadmap phases to guide capacity planning, failure modeling, and launch readiness. Challenge designs constructively, advocating for operational simplicity, automation, and sustainable on call models. Operational Excellence & Reliability Own and evolve availability, latency, performance, and reliability objectives for critical systems. Lead complex production events and cross platform investigations, reducing MTTR through systemic fixes, not workarounds. Champion blameless postmortems, ensuring remediation actions translate into measurable reliability improvements. Identify recurring failure patterns and drive engineering led elimination of toil. DevOps, CI/CD & Automation Provide leadership for CI/CD strategy, ensuring pipelines support automated validation, risk based gating, and safe, repeatable deployments. Drive adoption of automation first practices across build, deploy, test, recovery, and compliance workflows. Influence DevOps standards across teams, enabling consistent, high quality software delivery at scale. Observability & Self Healing Systems Define and promote standards for monitoring, alerting, SLOs, and telemetry. Enable proactive detection, predictive alerting, and self healing capabilities across platforms. Ensure observability is treated as a first class architectural requirement, not an afterthought. Risk, Controls & Compliance Partner with security, risk, and compliance teams to embed controls, auditability, and regulatory requirements into platform design and operations. Ensure operational practices meet Mastercard's enterprise risk and compliance expectations across all environments. Influence, Mentorship & Thought Leadership Mentor senior and junior engineers, raising the technical bar across the BizOps community. Contribute to guild initiatives, standards, whitepapers, and best practice guidance. Influence leaders and peers through data, experience, and clear technical narratives. Represent BizOps in cross organizational forums as a trusted advisor on reliability and operations. Qualifications Required Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Deep expertise in distributed systems, reliability engineering, and production operations. Strong foundation in algorithms, data structures, system design, and automation. Advanced troubleshooting skills across the full technology stack. Proven ability to drive decisions and outcomes in high pressure, high impact environments. Possess a solid understanding of databases, blob-stores like S3, and load balancers. Proficiency in one or more of: Python, Go, Bash. Extensive hands on experience with DevOps and observability tooling, such as(or similar tools): • Git / Bitbucket • Jenkins / XLR • Chef, Ansible • Splunk • Dynatrace • Demonstrated success building and scaling CI/CD pipelines with minimal manual intervention. Preferred / Deep Expertise Certificate Management, PKI, Authentication & Authorization LDAP, Active Directory Services, Access Provisioning Controls, Audit, and Compliance frameworks SOAP and REST APIs and integration patterns All About You You are strategic yet hands on, able to zoom out to enterprise impact and zoom in to code or configs. You operate with calm authority under pressure. You challenge the status quo with respect and data. You value sustainability, clarity, and engineering excellence. You are motivated by impact, scale, and long term improvement, not just delivery. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. . click apply for full job details
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Site Reliability Engineer II The BizOps team at Mastercard is looking for a Site Reliability Engineer (SRE) who thrives on solving complex problems, building robust CI/CD pipelines, and leading the organization in DevOps automation and best practices. Are You: A natural problem-solver who loves to understand how things work? Passionate about CI/CD and obsessed with automation? Someone with a low tolerance for manual tasks, always seeking ways to automate? If yes, we want to hear from you. About the BizOps Team Business Operations (BizOps) is at the forefront of Mastercard's DevOps transformation, leading the charge through tooling, automation, and advocacy across development, quality, release, and product teams. We're looking for individuals who: Have an appetite for change. Push the boundaries of what automation can achieve. Build strong relationships across development, operations, and product teams. Mission BizOps ensures production readiness by partnering closely with developers to design, build, implement, and support services. Key responsibilities include: Ensuring operational excellence in availability, performance, capacity, monitoring, self-healing, and deployment automation. Supporting daily operations with a focus on root cause analysis and business impact. Driving the "shift-left" approach, engaging early in development to enhance reliability. Managing risk and compliance across all environments. Standardizing and streamlining traditional support functions. Acting as a key communication bridge between internal and external stakeholders. Aligning product and customer priorities with operational needs. Responsibilities Engage in and improve the entire service lifecycle - from design to deployment and operations. Analyze ITSM platform activities and provide feedback to development teams on operational gaps and resiliency issues. Provide system design consulting, capacity planning, and launch readiness support. Monitor and maintain system availability, latency, and health. Scale systems through automation and reliability-focused improvements. Support and improve the CI/CD pipeline for software promotion, enforcing validation and operational gating. Lead DevOps automation initiatives and best practices at Mastercard. Drive sustainable incident response and conduct blameless postmortems. Take a holistic approach to problem-solving during production incidents, improving Mean Time to Recovery (MTTR). Work effectively with a globally distributed team across multiple time zones. Share knowledge and mentor junior engineers. Qualifications BS degree in Computer Science or a related technical field (e.g., Physics, Mathematics) or equivalent practical experience. Strong foundation in algorithms, data structures, scripting, software design, and pipeline management. Systematic problem-solving approach with excellent communication, ownership, and drive. Experience debugging and optimizing code, and automating manual tasks. Ability to handle high-pressure situations and make decisions with urgency. Proficiency in one or more programming languages: C, C++, Java, Python, Go, Perl, or Ruby. Experience working with large-scale distributed systems and troubleshooting them effectively. Experience with CI/CD tools, such as: Git/BitBucket Jenkins Maven Artifactory Chef Strong background in designing and implementing efficient CI/CD flows that get code from development to production with high quality and minimal manual effort. Proven track record of working across development, operations, and product teams Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $76,000 - $127,000 USD
08/16/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Site Reliability Engineer II The BizOps team at Mastercard is looking for a Site Reliability Engineer (SRE) who thrives on solving complex problems, building robust CI/CD pipelines, and leading the organization in DevOps automation and best practices. Are You: A natural problem-solver who loves to understand how things work? Passionate about CI/CD and obsessed with automation? Someone with a low tolerance for manual tasks, always seeking ways to automate? If yes, we want to hear from you. About the BizOps Team Business Operations (BizOps) is at the forefront of Mastercard's DevOps transformation, leading the charge through tooling, automation, and advocacy across development, quality, release, and product teams. We're looking for individuals who: Have an appetite for change. Push the boundaries of what automation can achieve. Build strong relationships across development, operations, and product teams. Mission BizOps ensures production readiness by partnering closely with developers to design, build, implement, and support services. Key responsibilities include: Ensuring operational excellence in availability, performance, capacity, monitoring, self-healing, and deployment automation. Supporting daily operations with a focus on root cause analysis and business impact. Driving the "shift-left" approach, engaging early in development to enhance reliability. Managing risk and compliance across all environments. Standardizing and streamlining traditional support functions. Acting as a key communication bridge between internal and external stakeholders. Aligning product and customer priorities with operational needs. Responsibilities Engage in and improve the entire service lifecycle - from design to deployment and operations. Analyze ITSM platform activities and provide feedback to development teams on operational gaps and resiliency issues. Provide system design consulting, capacity planning, and launch readiness support. Monitor and maintain system availability, latency, and health. Scale systems through automation and reliability-focused improvements. Support and improve the CI/CD pipeline for software promotion, enforcing validation and operational gating. Lead DevOps automation initiatives and best practices at Mastercard. Drive sustainable incident response and conduct blameless postmortems. Take a holistic approach to problem-solving during production incidents, improving Mean Time to Recovery (MTTR). Work effectively with a globally distributed team across multiple time zones. Share knowledge and mentor junior engineers. Qualifications BS degree in Computer Science or a related technical field (e.g., Physics, Mathematics) or equivalent practical experience. Strong foundation in algorithms, data structures, scripting, software design, and pipeline management. Systematic problem-solving approach with excellent communication, ownership, and drive. Experience debugging and optimizing code, and automating manual tasks. Ability to handle high-pressure situations and make decisions with urgency. Proficiency in one or more programming languages: C, C++, Java, Python, Go, Perl, or Ruby. Experience working with large-scale distributed systems and troubleshooting them effectively. Experience with CI/CD tools, such as: Git/BitBucket Jenkins Maven Artifactory Chef Strong background in designing and implementing efficient CI/CD flows that get code from development to production with high quality and minimal manual effort. Proven track record of working across development, operations, and product teams Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $76,000 - $127,000 USD
