What you will do We are seeking a Manufacturing IT Platform Engineer with 8-10 years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). The role focuses on building productized, reusable capabilities for MoM/MES integration, manufacturing data platforms, and edge deployments, using containers and Kubernetes to deploy and support solutions in manufacturing plants. This role is ideal for an engineer who wants to build real systems used on the shop floor, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting MoM/MES use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems (MES, SCADA, historians, equipment data). Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Configuration of the MOM/MES Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant deployments, validation, and basic production support. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the platform. What we look for Required 8-10 years of traditional software development experience in Manufacturing. 2-3 years of active experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems (MES, shop-floor data, production systems). Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Curious, hands-on, and ownership driven. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
09/22/2026
Full time
What you will do We are seeking a Manufacturing IT Platform Engineer with 8-10 years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). The role focuses on building productized, reusable capabilities for MoM/MES integration, manufacturing data platforms, and edge deployments, using containers and Kubernetes to deploy and support solutions in manufacturing plants. This role is ideal for an engineer who wants to build real systems used on the shop floor, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting MoM/MES use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems (MES, SCADA, historians, equipment data). Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Configuration of the MOM/MES Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant deployments, validation, and basic production support. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the platform. What we look for Required 8-10 years of traditional software development experience in Manufacturing. 2-3 years of active experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems (MES, shop-floor data, production systems). Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Curious, hands-on, and ownership driven. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
BNY seeks an SVP, Principal Business Analyst to lead third-party application engineering initiatives within its global finance and insurance business. You will own the analysis and optimization of vendor platforms supporting asset servicing and investment management, translating complex business needs into scalable technology solutions. Partner with engineering, product, risk, and operations to define requirements, roadmaps, and controls. Drive process reengineering, data and integration standards, and regulatory compliance while mentoring analysts. BNY offers global exposure, cutting-edge fintech projects, and a culture of integrity, innovation, and continuous learning. Responsibilities Lead end-to-end business analysis for third-party application engineering initiatives supporting asset servicing and investment management. Translate complex business, client, and regulatory needs into detailed functional and non-functional requirements. Partner with engineering, product, risk, compliance, and operations to define roadmaps and solution designs. Drive process reengineering and workflow optimization across front-to-back financial operations. Define data models, integration requirements, and API/interface specifications for vendor platforms. Assess and manage third-party application risks, controls, and compliance with financial regulations. Lead impact assessments, UAT planning, and validation of new features and platform changes. Provide thought leadership on technology and process best practices within BNY's global platform ecosystem. Mentor and guide junior business analysts and contribute to standards and methodologies. Engage stakeholders and senior leadership through clear documentation, presentations, and status reporting. Required Skills Business analysis Requirements gathering Third-party/vendor application management Financial services domain knowledge Data analysis and mapping Process modeling (BPMN, workflow tools) SQL and data querying Systems integration/APIs Risk and compliance in finance Project management
09/22/2026
Full time
BNY seeks an SVP, Principal Business Analyst to lead third-party application engineering initiatives within its global finance and insurance business. You will own the analysis and optimization of vendor platforms supporting asset servicing and investment management, translating complex business needs into scalable technology solutions. Partner with engineering, product, risk, and operations to define requirements, roadmaps, and controls. Drive process reengineering, data and integration standards, and regulatory compliance while mentoring analysts. BNY offers global exposure, cutting-edge fintech projects, and a culture of integrity, innovation, and continuous learning. Responsibilities Lead end-to-end business analysis for third-party application engineering initiatives supporting asset servicing and investment management. Translate complex business, client, and regulatory needs into detailed functional and non-functional requirements. Partner with engineering, product, risk, compliance, and operations to define roadmaps and solution designs. Drive process reengineering and workflow optimization across front-to-back financial operations. Define data models, integration requirements, and API/interface specifications for vendor platforms. Assess and manage third-party application risks, controls, and compliance with financial regulations. Lead impact assessments, UAT planning, and validation of new features and platform changes. Provide thought leadership on technology and process best practices within BNY's global platform ecosystem. Mentor and guide junior business analysts and contribute to standards and methodologies. Engage stakeholders and senior leadership through clear documentation, presentations, and status reporting. Required Skills Business analysis Requirements gathering Third-party/vendor application management Financial services domain knowledge Data analysis and mapping Process modeling (BPMN, workflow tools) SQL and data querying Systems integration/APIs Risk and compliance in finance Project management
What you will do: The ideal candidate will demonstrate a strong technical capability and engineering foresight, with the ability to lead complex development programs and portfolios focused on solving highly ambiguous and technically challenging problems. This role defines investigation strategies, including establishing supporting initiatives and identifying the appropriate teams and resources required for success. The individual provides technical oversight across multiple programs and development efforts while working closely with cross-functional partners to drive alignment, collaboration, and the successful adoption of designs and solutions across the organization. This position is not eligible for sponsorship. How you will do it: • Lead and advise cross program System Teams to review and negotiate customer specifications, industry standards, regulatory standards and internal design guidelines to establish product system requirements. • Guide across program System Teams in validation planning activities in accordance with automotive functional safety and ASPICE processes. • Develop System Processes with interaction with interacting Stakeholders to be compliant to ISO26262 and ASPICE processes. • Identify System Process gaps and lead System team for process improvement • Guide Workgroups to collect, analyze, and cascade the system requirements. • Lead Teams for optimization of requirements and parameter definition processes • Guide cross program to analyze performance and design constraint requirements • Define the system architecture, including sizing and cell selection based on core product portfolio using model-based systems engineering methods. • Guide cross program System Teams requirements cascading to engineering disciplines and subsystems • Lead analyzing limiting requirements to all functional levels • Define system architecture with interfaces of components and engineering disciplines • Review the system level DFMEA and lead the coordinating with other sub-systems and component FMEAs. • Approve specifications and design of all battery components - mechanical, electrical, software, and electronics. • Develop relationships with suppliers to help generate component specifications and lead the make vs. buy analysis in conjunction with functional groups. • Approver of system work packages and test results in support of design verification. • Approver of engineering documentation to ensure a sensible archive of information including engineering calculations, engineering drawings, intellectual property, DFMEAs, validation reports, meeting minutes, trip reports, and customer documents/communication. • Provides technical leadership on assigned project teams and tasks with other engineering disciplines. What we look for: Required: • Bachelor's degree in related field with extensive industry experience (15+ years) Preferred: • Master's degree in related field with extensive industry experience • PhD from a technically rigorous program and institution What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
09/22/2026
Full time
What you will do: The ideal candidate will demonstrate a strong technical capability and engineering foresight, with the ability to lead complex development programs and portfolios focused on solving highly ambiguous and technically challenging problems. This role defines investigation strategies, including establishing supporting initiatives and identifying the appropriate teams and resources required for success. The individual provides technical oversight across multiple programs and development efforts while working closely with cross-functional partners to drive alignment, collaboration, and the successful adoption of designs and solutions across the organization. This position is not eligible for sponsorship. How you will do it: • Lead and advise cross program System Teams to review and negotiate customer specifications, industry standards, regulatory standards and internal design guidelines to establish product system requirements. • Guide across program System Teams in validation planning activities in accordance with automotive functional safety and ASPICE processes. • Develop System Processes with interaction with interacting Stakeholders to be compliant to ISO26262 and ASPICE processes. • Identify System Process gaps and lead System team for process improvement • Guide Workgroups to collect, analyze, and cascade the system requirements. • Lead Teams for optimization of requirements and parameter definition processes • Guide cross program to analyze performance and design constraint requirements • Define the system architecture, including sizing and cell selection based on core product portfolio using model-based systems engineering methods. • Guide cross program System Teams requirements cascading to engineering disciplines and subsystems • Lead analyzing limiting requirements to all functional levels • Define system architecture with interfaces of components and engineering disciplines • Review the system level DFMEA and lead the coordinating with other sub-systems and component FMEAs. • Approve specifications and design of all battery components - mechanical, electrical, software, and electronics. • Develop relationships with suppliers to help generate component specifications and lead the make vs. buy analysis in conjunction with functional groups. • Approver of system work packages and test results in support of design verification. • Approver of engineering documentation to ensure a sensible archive of information including engineering calculations, engineering drawings, intellectual property, DFMEAs, validation reports, meeting minutes, trip reports, and customer documents/communication. • Provides technical leadership on assigned project teams and tasks with other engineering disciplines. What we look for: Required: • Bachelor's degree in related field with extensive industry experience (15+ years) Preferred: • Master's degree in related field with extensive industry experience • PhD from a technically rigorous program and institution What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
The Hollister Group seeks a Senior Network Engineer to design, implement, and support secure, scalable network infrastructure for a dynamic, professional services environment. You will architect LAN/WAN, VPN, wireless, and firewall solutions, optimize performance, and ensure high availability for internal and client-facing systems. Responsibilities include monitoring and troubleshooting complex issues, managing cloud and on-prem connectivity, supporting security initiatives, and leading network projects. You'll collaborate with cross-functional teams, mentor junior staff, document standards, and drive continuous improvement in a collaborative, growth-focused culture. Responsibilities Design and implement secure, scalable LAN/WAN, VPN, wireless, and firewall solutions. Monitor, troubleshoot, and resolve complex network performance and availability issues. Manage cloud and on-premises connectivity, including VPNs and inter-site routing. Implement and support network security controls in partnership with security teams. Lead network infrastructure projects from planning through execution and handoff. Develop and maintain network documentation, standards, and diagrams. Collaborate with cross-functional teams to support business and client initiatives. Mentor junior engineers and provide escalation support for critical incidents. Required Skills Network design LAN/WAN administration Routing and switching Firewall configuration VPN technologies Wireless networking Network security Cloud networking (AWS/Azure) Network monitoring and troubleshooting TCP/IP and networking protocols
09/22/2026
Full time
The Hollister Group seeks a Senior Network Engineer to design, implement, and support secure, scalable network infrastructure for a dynamic, professional services environment. You will architect LAN/WAN, VPN, wireless, and firewall solutions, optimize performance, and ensure high availability for internal and client-facing systems. Responsibilities include monitoring and troubleshooting complex issues, managing cloud and on-prem connectivity, supporting security initiatives, and leading network projects. You'll collaborate with cross-functional teams, mentor junior staff, document standards, and drive continuous improvement in a collaborative, growth-focused culture. Responsibilities Design and implement secure, scalable LAN/WAN, VPN, wireless, and firewall solutions. Monitor, troubleshoot, and resolve complex network performance and availability issues. Manage cloud and on-premises connectivity, including VPNs and inter-site routing. Implement and support network security controls in partnership with security teams. Lead network infrastructure projects from planning through execution and handoff. Develop and maintain network documentation, standards, and diagrams. Collaborate with cross-functional teams to support business and client initiatives. Mentor junior engineers and provide escalation support for critical incidents. Required Skills Network design LAN/WAN administration Routing and switching Firewall configuration VPN technologies Wireless networking Network security Cloud networking (AWS/Azure) Network monitoring and troubleshooting TCP/IP and networking protocols
Genworth is seeking a Senior Software Engineer to design, build, and enhance secure, scalable software solutions that power our long-term care and financial security products. In this role, you will collaborate with product, architecture, and business teams to deliver reliable applications and integrations across our financial and insurance platforms. You will write clean, testable code, lead code reviews, and influence architectural decisions, while championing DevOps, automation, and quality. Join a collaborative, mission-driven environment focused on supporting aging populations, families, and their long-term financial well-being. Responsibilities Design, develop, and maintain scalable, secure applications for financial and insurance products Collaborate with product, architecture, and business teams to deliver high-quality solutions Implement integrations with internal and third-party financial systems and services Write clean, testable, and maintainable code following engineering best practices Conduct code reviews, provide technical mentorship, and support continuous improvement Ensure reliability, performance, and security in cloud-based and on-premise environments Contribute to architectural decisions and technical roadmaps for core platforms Support Dev Ops practices including CI/CD, automation, and monitoring Required Skills Java or C or similar scripting language RESTful API design and development Microservices architecture Relational databases (e.g., SQL Server, Postgre SQL) Cloud platforms (e.g., AWS, Azure) CI/CD pipelines and Dev Ops tools Unit, integration, and automated testing Security best practices in financial applications Agile/Scrum development methodologies
09/22/2026
Full time
Genworth is seeking a Senior Software Engineer to design, build, and enhance secure, scalable software solutions that power our long-term care and financial security products. In this role, you will collaborate with product, architecture, and business teams to deliver reliable applications and integrations across our financial and insurance platforms. You will write clean, testable code, lead code reviews, and influence architectural decisions, while championing DevOps, automation, and quality. Join a collaborative, mission-driven environment focused on supporting aging populations, families, and their long-term financial well-being. Responsibilities Design, develop, and maintain scalable, secure applications for financial and insurance products Collaborate with product, architecture, and business teams to deliver high-quality solutions Implement integrations with internal and third-party financial systems and services Write clean, testable, and maintainable code following engineering best practices Conduct code reviews, provide technical mentorship, and support continuous improvement Ensure reliability, performance, and security in cloud-based and on-premise environments Contribute to architectural decisions and technical roadmaps for core platforms Support Dev Ops practices including CI/CD, automation, and monitoring Required Skills Java or C or similar scripting language RESTful API design and development Microservices architecture Relational databases (e.g., SQL Server, Postgre SQL) Cloud platforms (e.g., AWS, Azure) CI/CD pipelines and Dev Ops tools Unit, integration, and automated testing Security best practices in financial applications Agile/Scrum development methodologies
This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Architect and lead the development of scalable AI and cloud-native Agentic solutions using OpenAI, Azure, and AWS to enhance financial data acquisition and automation capabilities; spearhead the design and implementation of AI-powered transcription platforms, driving significant improvements in speed and efficiency (10%). Design, code, debug, maintain, and upgrade high-performance software systems, ensuring system performance, reliability, and maintainability (10%). Provide technical leadership across multiple engineering teams, guiding day-to-day development activities and architectural decision-making (10%). Lead cross-functional collaboration with Application Architects, Systems Engineers, DevOps/SRE, and business stakeholders to ensure alignment between technical solutions and business objectives (10%). Advocate and enforce global best practices for product performance, reliability, scalability, security, and code reusability (5%). Conduct architectural design and system planning, ensuring scalable solutions that balance technical excellence with financial sector business needs (20%). Enforce coding standards and software engineering best practices for applications across development teams (10%). Lead DevOps efforts with Docker, Kubernetes, and AWS Fargate; implemented CI/CD pipelines with SonarQube and automated infrastructure deployments (10%). Make strategic infrastructure decisions, monitor operational costs, and implement optimizations to reduce spend and improve system efficiency (10%). Attend team meetings to facilitate brainstorming, problem-solving, and project updates, fostering a culture of innovation and technical rigor (5%). Remote work requests will be considered consistent with company's remote work policy. Job Requirements: This position requires a Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 8 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position; or a Master's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 6 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position. This position also requires 5 years of experience in designing scalable AI and cloud-native solutions using AWS, Azure OpenAI or similar Cloud platforms; 5 years of experience developing commercial quality software products and solutions particularly focused on distributed and real-time systems; 5 years of experience with a variety of technology components and stacks, including Python and Java; 5 years of experience with performance, reliability, scalability, security, and reusability tactics and strategies; 5 years of experience defining, refining, and maintaining application architectures for sophisticated end-user software products; 5 years of experience with troubleshooting and debugging skills; 3 years of experience mentoring and leading engineering teams; 3 years of experience in machine learning, including model development and deployment in production environments; 3 years of experience building and delivering proof-of-concepts (POCs) to validate technical solutions; 3 years of experience with AWS cloud platforms and SaaS architectures; 3 years of experience DevOps, implementing CI/CD pipelines, containerizing using Docker and orchestration using Kubernetes/AWS Fargate; 3 years of experience in agile development practices including scrum and scaled agile. Will accept any suitable combination of education, training, and experience. Must possess unrestricted right to work in the U.S. in this position Base Salary Compensation: $117,957 - $123,010 per year Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. 001_MstarInc Morningstar Inc. Legal Entity
09/22/2026
Full time
This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Architect and lead the development of scalable AI and cloud-native Agentic solutions using OpenAI, Azure, and AWS to enhance financial data acquisition and automation capabilities; spearhead the design and implementation of AI-powered transcription platforms, driving significant improvements in speed and efficiency (10%). Design, code, debug, maintain, and upgrade high-performance software systems, ensuring system performance, reliability, and maintainability (10%). Provide technical leadership across multiple engineering teams, guiding day-to-day development activities and architectural decision-making (10%). Lead cross-functional collaboration with Application Architects, Systems Engineers, DevOps/SRE, and business stakeholders to ensure alignment between technical solutions and business objectives (10%). Advocate and enforce global best practices for product performance, reliability, scalability, security, and code reusability (5%). Conduct architectural design and system planning, ensuring scalable solutions that balance technical excellence with financial sector business needs (20%). Enforce coding standards and software engineering best practices for applications across development teams (10%). Lead DevOps efforts with Docker, Kubernetes, and AWS Fargate; implemented CI/CD pipelines with SonarQube and automated infrastructure deployments (10%). Make strategic infrastructure decisions, monitor operational costs, and implement optimizations to reduce spend and improve system efficiency (10%). Attend team meetings to facilitate brainstorming, problem-solving, and project updates, fostering a culture of innovation and technical rigor (5%). Remote work requests will be considered consistent with company's remote work policy. Job Requirements: This position requires a Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 8 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position; or a Master's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 6 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position. This position also requires 5 years of experience in designing scalable AI and cloud-native solutions using AWS, Azure OpenAI or similar Cloud platforms; 5 years of experience developing commercial quality software products and solutions particularly focused on distributed and real-time systems; 5 years of experience with a variety of technology components and stacks, including Python and Java; 5 years of experience with performance, reliability, scalability, security, and reusability tactics and strategies; 5 years of experience defining, refining, and maintaining application architectures for sophisticated end-user software products; 5 years of experience with troubleshooting and debugging skills; 3 years of experience mentoring and leading engineering teams; 3 years of experience in machine learning, including model development and deployment in production environments; 3 years of experience building and delivering proof-of-concepts (POCs) to validate technical solutions; 3 years of experience with AWS cloud platforms and SaaS architectures; 3 years of experience DevOps, implementing CI/CD pipelines, containerizing using Docker and orchestration using Kubernetes/AWS Fargate; 3 years of experience in agile development practices including scrum and scaled agile. Will accept any suitable combination of education, training, and experience. Must possess unrestricted right to work in the U.S. in this position Base Salary Compensation: $117,957 - $123,010 per year Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. 001_MstarInc Morningstar Inc. Legal Entity
Constellation, a leading energy solutions provider, is seeking a Senior Engineering Electrical Analyst to advance our capabilities in delivering reliable power and innovative energy solutions. This role is pivotal in analyzing electrical systems, improving operational efficiency, and contributing to sustainable energy initiatives. The ideal candidate will bring deep technical expertise and a strategic mindset to our dynamic engineering team, driving projects that enhance our service reliability and energy management offerings across diverse markets. Responsibilities Analyze complex electrical data to improve system reliability and efficiency. Manage projects from conception through implementation, ensuring technical standards and timelines are met. Collaborate with cross-functional teams to develop sustainable and innovative energy solutions. Conduct detailed risk assessments on electrical systems and recommend mitigation strategies. Stay abreast of industry trends and advancements in electrical engineering to drive continuous improvement. Required Skills Advanced knowledge of electrical engineering principles and energy management. Proficiency in data analysis and project management software (e.g., MATLAB, Auto CAD). Strong analytical and problem-solving abilities. Excellent communication and collaboration skills.
09/22/2026
Full time
Constellation, a leading energy solutions provider, is seeking a Senior Engineering Electrical Analyst to advance our capabilities in delivering reliable power and innovative energy solutions. This role is pivotal in analyzing electrical systems, improving operational efficiency, and contributing to sustainable energy initiatives. The ideal candidate will bring deep technical expertise and a strategic mindset to our dynamic engineering team, driving projects that enhance our service reliability and energy management offerings across diverse markets. Responsibilities Analyze complex electrical data to improve system reliability and efficiency. Manage projects from conception through implementation, ensuring technical standards and timelines are met. Collaborate with cross-functional teams to develop sustainable and innovative energy solutions. Conduct detailed risk assessments on electrical systems and recommend mitigation strategies. Stay abreast of industry trends and advancements in electrical engineering to drive continuous improvement. Required Skills Advanced knowledge of electrical engineering principles and energy management. Proficiency in data analysis and project management software (e.g., MATLAB, Auto CAD). Strong analytical and problem-solving abilities. Excellent communication and collaboration skills.
Constellation, a leading energy provider, is looking for a Senior Engineering Electrical Analyst to assess and optimize electrical systems and strategies for diverse energy projects. This role requires a strategic thinker with a deep understanding of electrical engineering in the energy sector. The successful candidate will analyze system performance, suggest improvement strategies, and lead projects that aim to increase efficiency, sustainability, and safety in energy distribution and usage. Responsibilities Evaluate the performance of existing electrical systems and recommend enhancements. Lead the development and implementation of new electrical strategies and technologies. Collaborate with interdisciplinary teams to ensure project accuracy and compliance. Conduct energy audits and system analyses to foresee potential issues and advise on preventative maintenance. Manage and mentor a team of junior electrical engineers and analysts. Required Skills Advanced knowledge of electrical engineering principles. Proficiency in energy management software and tools. Strong analytical and problem-solving skills. Excellent leadership and communication abilities. Ability to work collaboratively in fast-paced environments.
09/22/2026
Full time
Constellation, a leading energy provider, is looking for a Senior Engineering Electrical Analyst to assess and optimize electrical systems and strategies for diverse energy projects. This role requires a strategic thinker with a deep understanding of electrical engineering in the energy sector. The successful candidate will analyze system performance, suggest improvement strategies, and lead projects that aim to increase efficiency, sustainability, and safety in energy distribution and usage. Responsibilities Evaluate the performance of existing electrical systems and recommend enhancements. Lead the development and implementation of new electrical strategies and technologies. Collaborate with interdisciplinary teams to ensure project accuracy and compliance. Conduct energy audits and system analyses to foresee potential issues and advise on preventative maintenance. Manage and mentor a team of junior electrical engineers and analysts. Required Skills Advanced knowledge of electrical engineering principles. Proficiency in energy management software and tools. Strong analytical and problem-solving skills. Excellent leadership and communication abilities. Ability to work collaboratively in fast-paced environments.
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions-including sponsored, display, video, and custom ads-leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are looking for a Senior Software Developer with a passion for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising programs including Display, Video, Mobile and Kindle. Our team builds end-to-end solutions including data pipelines, large scale index data structures, time series models, software services and large scale data visualizations. Our systems are based on a mix of AWS and third-party technologies, using ones that make the best sense in a given scenario. Key job responsibilities - Own backend data pipelines, indexing systems and service & API layer application support. - Work closely with a group of highly talented and motivated software and data science engineers who build systems and models used to analyze petabytes of data - Build systems and models to analyze supply and demand side of our advertising business and devise optimization methods. - Work on analyzing exchange bidding behavior, time series modeling, optimal inventory allocation and many other exciting problems posed by a advertising business - Invent ways to overcome technical limitations and enable new forms of analyses that drive key business decisions - Investigate new technologies and champion adoption within the team - Work on a platform that spans Hadoop, Map/Reduce, Pig, FastBit, Redshift, and S3 using programming languages such as Java, C++ and Python - Mentor junior team members - Directly participate in setting the vision and objectives for strategic Amazon goals, in alignment with business needs and ad market dynamics. - Find new ways to use variety of Amazon's data sets to help one of the fastest growing businesses within Amazon BASIC QUALIFICATIONS - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Palo Alto - 193 500.00 USD annually USA, NY, New York - 184 200.00 USD annually
09/22/2026
Full time
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions-including sponsored, display, video, and custom ads-leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are looking for a Senior Software Developer with a passion for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising programs including Display, Video, Mobile and Kindle. Our team builds end-to-end solutions including data pipelines, large scale index data structures, time series models, software services and large scale data visualizations. Our systems are based on a mix of AWS and third-party technologies, using ones that make the best sense in a given scenario. Key job responsibilities - Own backend data pipelines, indexing systems and service & API layer application support. - Work closely with a group of highly talented and motivated software and data science engineers who build systems and models used to analyze petabytes of data - Build systems and models to analyze supply and demand side of our advertising business and devise optimization methods. - Work on analyzing exchange bidding behavior, time series modeling, optimal inventory allocation and many other exciting problems posed by a advertising business - Invent ways to overcome technical limitations and enable new forms of analyses that drive key business decisions - Investigate new technologies and champion adoption within the team - Work on a platform that spans Hadoop, Map/Reduce, Pig, FastBit, Redshift, and S3 using programming languages such as Java, C++ and Python - Mentor junior team members - Directly participate in setting the vision and objectives for strategic Amazon goals, in alignment with business needs and ad market dynamics. - Find new ways to use variety of Amazon's data sets to help one of the fastest growing businesses within Amazon BASIC QUALIFICATIONS - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Palo Alto - 193 500.00 USD annually USA, NY, New York - 184 200.00 USD annually
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - User Acceptance Tester Job Code: 42626 Job Location: Springfield, VA (100% Onsite) Work Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a User Acceptance Tester with expertise in Test and Integration for an important National Security Program. The successful candidate will support a high performing team of Government and Contractor professionals by testing software releases to ensure they function correctly, documenting failed test cases, and documenting any changes or updates needed to existing procedures. This role is critical in maintaining the integrity and performance of our software products. Essential Functions: Design, develop, and manage test cases, including traceability to requirements, user stories, etc. Execute software testing events using industry-accepted test tools. Participate in User Acceptance Testing (UAT) and Government Acceptance Testing (GGAT) exercises. Document and report any bugs, issues, discrepancies, or failed test cases found during testing government defect tracking tool. Develop/deliver test reports as well as present finding to project stakeholders. Able to independently develop and precisely follow test scripts with attention to detail, document findings. Use strong written and verbal communication skills, with experience updating senior leadership. Able to work independently with minimum supervision. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active Top Secret/SCI with CI Polygraph 5+ years of software integration and test experience with a focus on user acceptance testing (UAT). Experience developing and executing manual and automated software tests. Experience using industry-accepted test automation tools, such as Test Complete or Selenium. Experience using industry-accepted requirements repository and defect tracking tools (ex. Backlog, Bugzilla, Jira, etc.) Preferred Additional Skills: Knowledge of NRO organization and operational missions. Relevant certification or coursework (e.g., ISTQB Certified Tester - Acceptance Testing (CT-AcT). In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area is $106,500 - $197,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - User Acceptance Tester Job Code: 42626 Job Location: Springfield, VA (100% Onsite) Work Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a User Acceptance Tester with expertise in Test and Integration for an important National Security Program. The successful candidate will support a high performing team of Government and Contractor professionals by testing software releases to ensure they function correctly, documenting failed test cases, and documenting any changes or updates needed to existing procedures. This role is critical in maintaining the integrity and performance of our software products. Essential Functions: Design, develop, and manage test cases, including traceability to requirements, user stories, etc. Execute software testing events using industry-accepted test tools. Participate in User Acceptance Testing (UAT) and Government Acceptance Testing (GGAT) exercises. Document and report any bugs, issues, discrepancies, or failed test cases found during testing government defect tracking tool. Develop/deliver test reports as well as present finding to project stakeholders. Able to independently develop and precisely follow test scripts with attention to detail, document findings. Use strong written and verbal communication skills, with experience updating senior leadership. Able to work independently with minimum supervision. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active Top Secret/SCI with CI Polygraph 5+ years of software integration and test experience with a focus on user acceptance testing (UAT). Experience developing and executing manual and automated software tests. Experience using industry-accepted test automation tools, such as Test Complete or Selenium. Experience using industry-accepted requirements repository and defect tracking tools (ex. Backlog, Bugzilla, Jira, etc.) Preferred Additional Skills: Knowledge of NRO organization and operational missions. Relevant certification or coursework (e.g., ISTQB Certified Tester - Acceptance Testing (CT-AcT). In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area is $106,500 - $197,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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).
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Job Description Job Description Overview Junior Video Teleconference Technician Washington, DC Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers. The Junior Video Teleconference Technician provides support for SSP Information Operations AV/VTC equipment, including CODECs, AV/VTC network connections and controllers, wired/wireless interfaces, audio controllers, data interfaces, Cable TV, CCTV, other miscellaneous AV/VTC equipment, and other commonly used peripherals within the government computing environment. Responsibilities Set up administrator and service accounts for SSP network desktop and conference room VTC devices. Update and maintain AV/VTC deployments using government-supplied and/or other approved hardware, subsequent upgrades/patches/versions/releases, and AV/VTC unique applications. Ensure compliance as outlined in the AV/VTC Security Technical Implementation Guide (STIG) on all SSP Information Operations AV/VTC setups. Provide Standard and Advanced AV/VTC support for hardware and software configuration, troubleshooting, and problem resolution enterprise-wide. Provide technical support for AV/VTC update software installation and configuration issues and provide resolution. Input, update, and maintain trouble tickets using the Heat Helpdesk Software application. Independently diagnose and resolve complex technical issues related to VTC equipment and software, ensuring minimal disruption to scheduled meetings. Make real-time decisions during critical situations, such as technical failures during important video conferences, by troubleshooting and implementing quick fixes. Provide oversight to VTC operations to ensure they comply with industry standards and regulations, making decisions to align with legal and security requirements. Other duties as assigned Qualifications Associate's degree or higher from an accredited institution and 1+ years of experience OR High School Diploma or GED equivalent and 2+ years of experience CompTIA Certification A+, Network+ or Security+ Cisco/Tandberg technician training Secret clearance required Preferred Qualifications: Installing and maintaining baseline VTC system configurations preferred Knowledge of Cisco Call Manager and VOIP connections preferred Knowledge in installing, troubleshooting, servicing, and repairing video conferencing equipment and components, cables, connectors, and peripherals on a variety of network configurations preferred Knowledge, Skills and Abilities: The ability to make informed, independent decisions ensures that VTC systems remain operational, secure, and aligned with the organization's goals and requirements. Knowledge of Audio-Visual Technology Knowledge of Automation and Enhancement How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Defense & Aerospace Solutions, LLC
09/22/2026
Full time
Job Description Job Description Overview Junior Video Teleconference Technician Washington, DC Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers. The Junior Video Teleconference Technician provides support for SSP Information Operations AV/VTC equipment, including CODECs, AV/VTC network connections and controllers, wired/wireless interfaces, audio controllers, data interfaces, Cable TV, CCTV, other miscellaneous AV/VTC equipment, and other commonly used peripherals within the government computing environment. Responsibilities Set up administrator and service accounts for SSP network desktop and conference room VTC devices. Update and maintain AV/VTC deployments using government-supplied and/or other approved hardware, subsequent upgrades/patches/versions/releases, and AV/VTC unique applications. Ensure compliance as outlined in the AV/VTC Security Technical Implementation Guide (STIG) on all SSP Information Operations AV/VTC setups. Provide Standard and Advanced AV/VTC support for hardware and software configuration, troubleshooting, and problem resolution enterprise-wide. Provide technical support for AV/VTC update software installation and configuration issues and provide resolution. Input, update, and maintain trouble tickets using the Heat Helpdesk Software application. Independently diagnose and resolve complex technical issues related to VTC equipment and software, ensuring minimal disruption to scheduled meetings. Make real-time decisions during critical situations, such as technical failures during important video conferences, by troubleshooting and implementing quick fixes. Provide oversight to VTC operations to ensure they comply with industry standards and regulations, making decisions to align with legal and security requirements. Other duties as assigned Qualifications Associate's degree or higher from an accredited institution and 1+ years of experience OR High School Diploma or GED equivalent and 2+ years of experience CompTIA Certification A+, Network+ or Security+ Cisco/Tandberg technician training Secret clearance required Preferred Qualifications: Installing and maintaining baseline VTC system configurations preferred Knowledge of Cisco Call Manager and VOIP connections preferred Knowledge in installing, troubleshooting, servicing, and repairing video conferencing equipment and components, cables, connectors, and peripherals on a variety of network configurations preferred Knowledge, Skills and Abilities: The ability to make informed, independent decisions ensures that VTC systems remain operational, secure, and aligned with the organization's goals and requirements. Knowledge of Audio-Visual Technology Knowledge of Automation and Enhancement How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Defense & Aerospace Solutions, LLC
Job Description Job Description TITLE: eCommerce Operations Engineer (contractor) Groundbreaking advances in synthetic biology achieved at Client X allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. Up from three at the start of the year, today we support nine exciting brands: Biossance, Pipette, Costa Brazil, Purecane, OLIKA, Terasana, Rose, Inc., JVN Hair, and Eco Fabulous The compute ecosystem for the consumer business consists of Shopify, custom Shopify apps, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. We are hiring an engineer who is passionate about delivering operational excellence. You know how to deal with ambiguity and prioritize your tasks in a fast-paced environment. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. You have the knowledge and confidence to advise others on the best practices in operations and develop a roadmap with our team for our future operations' growth. Responsibilities: Develop and support Integrations between Shopify, Boomi, NetSuite, and Salesforce. Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management. Communicate with business stakeholders, collect requirements, and collaborate with overseas developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Required Qualifications: Bachelor's degree. Ten (10+) years related experience in system engineering and integration. Five (5+) years of experience in project management in system integration. Five (5+) years in enforcing and improving software change management in live operations. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary. Proficient with MS Office, Google Suite, and Jira. Preferred Qualifications: Experience in Shopify, Google Analytics, Google Search Console, and Google Tag Management is highly preferred. Experience with Accessible Rich Internet Applications (ARIA) is a big plus.
09/22/2026
Full time
Job Description Job Description TITLE: eCommerce Operations Engineer (contractor) Groundbreaking advances in synthetic biology achieved at Client X allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. Up from three at the start of the year, today we support nine exciting brands: Biossance, Pipette, Costa Brazil, Purecane, OLIKA, Terasana, Rose, Inc., JVN Hair, and Eco Fabulous The compute ecosystem for the consumer business consists of Shopify, custom Shopify apps, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. We are hiring an engineer who is passionate about delivering operational excellence. You know how to deal with ambiguity and prioritize your tasks in a fast-paced environment. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. You have the knowledge and confidence to advise others on the best practices in operations and develop a roadmap with our team for our future operations' growth. Responsibilities: Develop and support Integrations between Shopify, Boomi, NetSuite, and Salesforce. Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management. Communicate with business stakeholders, collect requirements, and collaborate with overseas developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Required Qualifications: Bachelor's degree. Ten (10+) years related experience in system engineering and integration. Five (5+) years of experience in project management in system integration. Five (5+) years in enforcing and improving software change management in live operations. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary. Proficient with MS Office, Google Suite, and Jira. Preferred Qualifications: Experience in Shopify, Google Analytics, Google Search Console, and Google Tag Management is highly preferred. Experience with Accessible Rich Internet Applications (ARIA) is a big plus.
Overview Would you like to be the person in Seattle who makes sure the demands and the potential of CMHK customers are heard, understood, and acted on by the teams that build the products? As a Go-to-Market Specialist (GTMS) based in the US, you sit close to AWS service teams and global stakeholders, and you use that proximity to carry the reality of the China Mainland & Hong Kong market into the rooms where product and service decisions are made. You are equal parts specialist and advocate: you understand the technology deeply, you translate CMHK customer needs into a compelling case, and you influence and convince the key people who can act on it. This role is built for someone who is genuinely self-driven and accountable for outcomes. Success is not measured by activity - it is measured by results: the roadmap asks you land, the stakeholders you move, the pipeline you create, and the adoption you drive. You will operate at high intensity, hold multiple engagements at once, and keep pace with a fast-moving cloud market. You are comfortable under pressure, you take ownership without waiting to be told, and you have the personal presence and communication skills to earn trust quickly with both service-team leaders and customers. Above all, you are someone who pushes: you do not simply flag a problem, you drive the specific action that resolves it. The ideal candidate combines credible technical understanding of cloud, infrastructure, and managed services with strong business instincts and communication. You should be able to hold your own with a service-team engineer on the technical substance and, in the same afternoon, frame a crisp, data-backed argument that convinces a product leader to prioritize a CMHK customer requirement. A strong sense of ownership, a bias for action, and the ability to deliver results in ambiguity are essential. What Makes This Role Different Beyond the standard specialist mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Real technical understanding of cloud, infrastructure, and managed services You bring a strong understanding of the cloud business - not just what a service does, but how cloud infrastructure and managed services fit together commercially and technically, where the boundaries and trade-offs are, and when a given approach is the right one for a customer. Ideally you also have a working understanding of accelerated computing and GPU-carried workloads (training or inference) and the infrastructure choices they drive. You hold a defensible technical opinion in front of both a customer architect and an AWS service team. 2. Presence, affinity, and communication that earns trust fast You build rapport quickly and are easy to work with under pressure. Your written and verbal communication is clear, concise, and persuasive, whether you are in front of a service GM, a product leader, or a customer executive. People trust you with their decisions because you are credible and you follow through. 3. Self-driven ownership and accountability for results You do not wait to be assigned work - you see what needs to happen and you own it. You set your own agenda against the outcomes that matter, you operate independently at high intensity, and you hold yourself accountable for the result, not just the effort. When something is ambiguous, you make a call and move. 4. The ability to influence and push things to happen This is the core operating trait of the role. You diagnose why a customer need is not landing with a service team, you build the case, and then you drive the relevant people - internal and external - to act on it. You escalate when you should, you disagree and commit when you must, and you do not let important things quietly stall. Key job responsibilities Voice of the Region to Service & Global Stakeholders Based in Seattle near AWS service teams; act as the bridge carrying CMHK customer reality into product and service decisions. Represent CMHK demands, use cases, and blockers persuasively to GMs and global leaders; make the investment case. Influence decision-makers to prioritize CMHK needs-converting field signal into roadmap action and closing the loop back to the region. Go-to-Market Execution & Field Guidance Own the GTM motion for the infrastructure and managed-services portfolio, from narrative to execution. Build pipeline by engaging customers, partners, and account teams with a differentiated value proposition. Guide account teams on live deals: qualify, shape technical approach, unblock obstacles, and know when to escalate vs. coach. Technical Depth & Field Enablement Maintain credible expertise across compute, storage, networking, and managed services as a go-to field resource. Prove a repeatable motion on a real win, codify it, and scale it across the field. Communication & Data-Driven Management Deliver crisp, data-backed updates on pipeline, adoption, competition, and roadblocks. Leverage Salesforce and internal systems to track pipeline and build the investment case. BASIC QUALIFICATIONS - 7+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience - Demonstrable understanding of cloud, infrastructure, and managed services - you can speak credibly to how they are architected and where the trade-offs lie. - A track record of self-driven ownership and delivering measurable results, including examples of independently driving outcomes under pressure and ambiguity. - Demonstrated ability to influence stakeholders who are not in your reporting line - building a case, changing minds, and driving the relevant people to act. - Strong verbal and written communication skills, with the personal affinity and presence to engage credibly with both senior leaders and hands-on technical practitioners. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS - Hands-on or architecture-level experience with cloud platforms, infrastructure, and managed services; working knowledge of software development practices, data center, and networking technologies. - Experience working across a global, matrixed organization and influencing HQ service and product teams from an in-region or bridging role. - Familiarity with the CMHK / Greater China market and its customer segments, or comparable experience representing a region's needs to a global product organization. - Familiarity with AI/ML and generative AI infrastructure requirements, and how infrastructure and managed-services decisions constrain or enable them. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 147 100.00 USD annually
09/22/2026
Full time
Overview Would you like to be the person in Seattle who makes sure the demands and the potential of CMHK customers are heard, understood, and acted on by the teams that build the products? As a Go-to-Market Specialist (GTMS) based in the US, you sit close to AWS service teams and global stakeholders, and you use that proximity to carry the reality of the China Mainland & Hong Kong market into the rooms where product and service decisions are made. You are equal parts specialist and advocate: you understand the technology deeply, you translate CMHK customer needs into a compelling case, and you influence and convince the key people who can act on it. This role is built for someone who is genuinely self-driven and accountable for outcomes. Success is not measured by activity - it is measured by results: the roadmap asks you land, the stakeholders you move, the pipeline you create, and the adoption you drive. You will operate at high intensity, hold multiple engagements at once, and keep pace with a fast-moving cloud market. You are comfortable under pressure, you take ownership without waiting to be told, and you have the personal presence and communication skills to earn trust quickly with both service-team leaders and customers. Above all, you are someone who pushes: you do not simply flag a problem, you drive the specific action that resolves it. The ideal candidate combines credible technical understanding of cloud, infrastructure, and managed services with strong business instincts and communication. You should be able to hold your own with a service-team engineer on the technical substance and, in the same afternoon, frame a crisp, data-backed argument that convinces a product leader to prioritize a CMHK customer requirement. A strong sense of ownership, a bias for action, and the ability to deliver results in ambiguity are essential. What Makes This Role Different Beyond the standard specialist mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Real technical understanding of cloud, infrastructure, and managed services You bring a strong understanding of the cloud business - not just what a service does, but how cloud infrastructure and managed services fit together commercially and technically, where the boundaries and trade-offs are, and when a given approach is the right one for a customer. Ideally you also have a working understanding of accelerated computing and GPU-carried workloads (training or inference) and the infrastructure choices they drive. You hold a defensible technical opinion in front of both a customer architect and an AWS service team. 2. Presence, affinity, and communication that earns trust fast You build rapport quickly and are easy to work with under pressure. Your written and verbal communication is clear, concise, and persuasive, whether you are in front of a service GM, a product leader, or a customer executive. People trust you with their decisions because you are credible and you follow through. 3. Self-driven ownership and accountability for results You do not wait to be assigned work - you see what needs to happen and you own it. You set your own agenda against the outcomes that matter, you operate independently at high intensity, and you hold yourself accountable for the result, not just the effort. When something is ambiguous, you make a call and move. 4. The ability to influence and push things to happen This is the core operating trait of the role. You diagnose why a customer need is not landing with a service team, you build the case, and then you drive the relevant people - internal and external - to act on it. You escalate when you should, you disagree and commit when you must, and you do not let important things quietly stall. Key job responsibilities Voice of the Region to Service & Global Stakeholders Based in Seattle near AWS service teams; act as the bridge carrying CMHK customer reality into product and service decisions. Represent CMHK demands, use cases, and blockers persuasively to GMs and global leaders; make the investment case. Influence decision-makers to prioritize CMHK needs-converting field signal into roadmap action and closing the loop back to the region. Go-to-Market Execution & Field Guidance Own the GTM motion for the infrastructure and managed-services portfolio, from narrative to execution. Build pipeline by engaging customers, partners, and account teams with a differentiated value proposition. Guide account teams on live deals: qualify, shape technical approach, unblock obstacles, and know when to escalate vs. coach. Technical Depth & Field Enablement Maintain credible expertise across compute, storage, networking, and managed services as a go-to field resource. Prove a repeatable motion on a real win, codify it, and scale it across the field. Communication & Data-Driven Management Deliver crisp, data-backed updates on pipeline, adoption, competition, and roadblocks. Leverage Salesforce and internal systems to track pipeline and build the investment case. BASIC QUALIFICATIONS - 7+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience - Demonstrable understanding of cloud, infrastructure, and managed services - you can speak credibly to how they are architected and where the trade-offs lie. - A track record of self-driven ownership and delivering measurable results, including examples of independently driving outcomes under pressure and ambiguity. - Demonstrated ability to influence stakeholders who are not in your reporting line - building a case, changing minds, and driving the relevant people to act. - Strong verbal and written communication skills, with the personal affinity and presence to engage credibly with both senior leaders and hands-on technical practitioners. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS - Hands-on or architecture-level experience with cloud platforms, infrastructure, and managed services; working knowledge of software development practices, data center, and networking technologies. - Experience working across a global, matrixed organization and influencing HQ service and product teams from an in-region or bridging role. - Familiarity with the CMHK / Greater China market and its customer segments, or comparable experience representing a region's needs to a global product organization. - Familiarity with AI/ML and generative AI infrastructure requirements, and how infrastructure and managed-services decisions constrain or enable them. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 147 100.00 USD annually
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - User Acceptance Tester Job Code: 42626 Job Location: Springfield, VA (100% Onsite) Work Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a User Acceptance Tester with expertise in Test and Integration for an important National Security Program. The successful candidate will support a high performing team of Government and Contractor professionals by testing software releases to ensure they function correctly, documenting failed test cases, and documenting any changes or updates needed to existing procedures. This role is critical in maintaining the integrity and performance of our software products. Essential Functions: Design, develop, and manage test cases, including traceability to requirements, user stories, etc. Execute software testing events using industry-accepted test tools. Participate in User Acceptance Testing (UAT) and Government Acceptance Testing (GGAT) exercises. Document and report any bugs, issues, discrepancies, or failed test cases found during testing government defect tracking tool. Develop/deliver test reports as well as present finding to project stakeholders. Able to independently develop and precisely follow test scripts with attention to detail, document findings. Use strong written and verbal communication skills, with experience updating senior leadership. Able to work independently with minimum supervision. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active Top Secret/SCI with CI Polygraph 5+ years of software integration and test experience with a focus on user acceptance testing (UAT). Experience developing and executing manual and automated software tests. Experience using industry-accepted test automation tools, such as Test Complete or Selenium. Experience using industry-accepted requirements repository and defect tracking tools (ex. Backlog, Bugzilla, Jira, etc.) Preferred Additional Skills: Knowledge of NRO organization and operational missions. Relevant certification or coursework (e.g., ISTQB Certified Tester - Acceptance Testing (CT-AcT). In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area is $106,500 - $197,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - User Acceptance Tester Job Code: 42626 Job Location: Springfield, VA (100% Onsite) Work Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a User Acceptance Tester with expertise in Test and Integration for an important National Security Program. The successful candidate will support a high performing team of Government and Contractor professionals by testing software releases to ensure they function correctly, documenting failed test cases, and documenting any changes or updates needed to existing procedures. This role is critical in maintaining the integrity and performance of our software products. Essential Functions: Design, develop, and manage test cases, including traceability to requirements, user stories, etc. Execute software testing events using industry-accepted test tools. Participate in User Acceptance Testing (UAT) and Government Acceptance Testing (GGAT) exercises. Document and report any bugs, issues, discrepancies, or failed test cases found during testing government defect tracking tool. Develop/deliver test reports as well as present finding to project stakeholders. Able to independently develop and precisely follow test scripts with attention to detail, document findings. Use strong written and verbal communication skills, with experience updating senior leadership. Able to work independently with minimum supervision. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active Top Secret/SCI with CI Polygraph 5+ years of software integration and test experience with a focus on user acceptance testing (UAT). Experience developing and executing manual and automated software tests. Experience using industry-accepted test automation tools, such as Test Complete or Selenium. Experience using industry-accepted requirements repository and defect tracking tools (ex. Backlog, Bugzilla, Jira, etc.) Preferred Additional Skills: Knowledge of NRO organization and operational missions. Relevant certification or coursework (e.g., ISTQB Certified Tester - Acceptance Testing (CT-AcT). In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area is $106,500 - $197,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. 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