This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Masimo , one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Masimo is a global medical technology company that develops and produces a wide array of industry-leading monitoring technologies, including non-invasive measurements, sensors, patient monitors, and automation and connectivity solutions. Our mission is, Masimo innovations empower clinicians to transform patient care. When you join our team, you'll be part of a culture that's driven by passion, challenging the status quo, and making an impact in the lives of others. Learn about the Danaher Business System which makes everything possible. The Engineer II, Software Test is responsible for design, development, and execution of test strategies for medical device systems. This role combines hands-on system-level testing with ownership of creating manual and automated test cases to ensure product quality, reliability, and regulatory compliance. The position reports to the Sr Manager, Instrument Software Test and is part of the Software Test Engineering department located in Irvine, CA and will be an on-site role. In This Role, You Will Have The Opportunity To: Design and develop comprehensive test strategies, plans, and test cases for medical device systems. Execute and oversee functional, integration, system-level, and performance testing. Review requirements and system architecture to ensure testability and coverage. Develop test reports, traceability matrices, and validation documentation. Build automated test scripts using languages such as Python, TCL, or similar. Partner with software, hardware, systems, and quality teams to define test strategies and quality goals Support system integration, product bring-up, and troubleshooting efforts. The Essential Requirements Of The Job Include: B.S. Degree in computer science, computer engineering, software engineering, biomedical engineering, or related technical discipline. 3+ years of experience in medical device testing, system validation, or software quality engineering. Strong understanding of system-level testing across hardware, software, and integrated systems Hands-on experience with lab equipment and system-level debugging. Experience with test automation frameworks and scripting (Python, C/C++, or similar). It would be a plus if you also possess previous experience in: Familiarity with IEC 62304, ISO 13485, FDA Quality System Regulation, or other applicable software quality standards. Proficient in industry-standard communication protocols, including RS-232, I C, SPI, and TCP/IP, for hardware and software integration, debugging, and validation. Strong analytical and problem-solving skills. Masimo, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. The annual salary range for this role is $80,000 - $105,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for up to a 10% annual bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
11/13/2026
Full time
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Masimo , one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Masimo is a global medical technology company that develops and produces a wide array of industry-leading monitoring technologies, including non-invasive measurements, sensors, patient monitors, and automation and connectivity solutions. Our mission is, Masimo innovations empower clinicians to transform patient care. When you join our team, you'll be part of a culture that's driven by passion, challenging the status quo, and making an impact in the lives of others. Learn about the Danaher Business System which makes everything possible. The Engineer II, Software Test is responsible for design, development, and execution of test strategies for medical device systems. This role combines hands-on system-level testing with ownership of creating manual and automated test cases to ensure product quality, reliability, and regulatory compliance. The position reports to the Sr Manager, Instrument Software Test and is part of the Software Test Engineering department located in Irvine, CA and will be an on-site role. In This Role, You Will Have The Opportunity To: Design and develop comprehensive test strategies, plans, and test cases for medical device systems. Execute and oversee functional, integration, system-level, and performance testing. Review requirements and system architecture to ensure testability and coverage. Develop test reports, traceability matrices, and validation documentation. Build automated test scripts using languages such as Python, TCL, or similar. Partner with software, hardware, systems, and quality teams to define test strategies and quality goals Support system integration, product bring-up, and troubleshooting efforts. The Essential Requirements Of The Job Include: B.S. Degree in computer science, computer engineering, software engineering, biomedical engineering, or related technical discipline. 3+ years of experience in medical device testing, system validation, or software quality engineering. Strong understanding of system-level testing across hardware, software, and integrated systems Hands-on experience with lab equipment and system-level debugging. Experience with test automation frameworks and scripting (Python, C/C++, or similar). It would be a plus if you also possess previous experience in: Familiarity with IEC 62304, ISO 13485, FDA Quality System Regulation, or other applicable software quality standards. Proficient in industry-standard communication protocols, including RS-232, I C, SPI, and TCP/IP, for hardware and software integration, debugging, and validation. Strong analytical and problem-solving skills. Masimo, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. The annual salary range for this role is $80,000 - $105,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for up to a 10% annual bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Masimo , one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Masimo is a global medical technology company that develops and produces a wide array of industry-leading monitoring technologies, including non-invasive measurements, sensors, patient monitors, and automation and connectivity solutions. Our mission is, Masimo innovations empower clinicians to transform patient care. When you join our team, you'll be part of a culture that's driven by passion, challenging the status quo, and making an impact in the lives of others. Learn about the Danaher Business System which makes everything possible. The Engineer II, Software Automation is responsible for developing, executing, and maintaining scalable test automation frameworks and infrastructure for complex, distributed systems - including microservice-based software platforms, on-prem and cloud deployments, and the in-house and third-party devices they integrate with. This role is a key technical contributor within the Systems Test Engineering organization, developing automation solutions that improve test efficiency, reliability, repeatability, and coverage. The position reports to the Sr Manager, Systems Software Test and is part of the Software Test Engineering department located in Irvine, CA and will be an on-site role. In This Role, You Will Have The Opportunity To: Develop, execute, and maintain scalable automated test frameworks and support infrastructure for instrument and system-level testing. Develop reusable test libraries, device interfaces, protocol libraries, utilities, and common automation components across instrument platforms and downstream system integrations. Contribute to system and product test strategies with an emphasis on automation, repeatability, scalability, and maintainability. Collaborate with development teams during product design to improve system testability, observability, interfaces, communication protocols, and diagnostic capabilities. The Essential Requirements Of The Job Include: B.S. Degree in computer science, computer engineering, software engineering, biomedical engineering, or related technical discipline. 3+ years of experience in software development, test automation, software verification, or a related engineering discipline working with automated testing tools and scripting languages (Python, C#, C++, Java, or similar). Experience with Git, CI/CD systems, and modern software development practices. Familiarity with defect tracking and test management tools. Understanding of Software Development Life Cycle (SDLC) and Agile development methodologies. Strong debugging, problem-solving, communication, and cross-functional collaboration skills. It would be a plus if you also possess previous experience in: Experience within the medical device or other regulated industry. Familiarity with IEC 62304, ISO 13485, FDA Quality System Regulation, or other applicable software quality standards. Familiarity with healthcare interoperability or messaging standards (e.g., HL7, WCTP) or other structured data/protocol formats. Experience with cloud platforms (e.g., AWS, Azure, GCP) and container/orchestration tooling (e.g., Docker, Kubernetes). Masimo, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. The annual salary range OR the hourly range for this role is $80,000 - $105,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for up to a 10% annual bonus. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
11/13/2026
Full time
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Masimo , one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Masimo is a global medical technology company that develops and produces a wide array of industry-leading monitoring technologies, including non-invasive measurements, sensors, patient monitors, and automation and connectivity solutions. Our mission is, Masimo innovations empower clinicians to transform patient care. When you join our team, you'll be part of a culture that's driven by passion, challenging the status quo, and making an impact in the lives of others. Learn about the Danaher Business System which makes everything possible. The Engineer II, Software Automation is responsible for developing, executing, and maintaining scalable test automation frameworks and infrastructure for complex, distributed systems - including microservice-based software platforms, on-prem and cloud deployments, and the in-house and third-party devices they integrate with. This role is a key technical contributor within the Systems Test Engineering organization, developing automation solutions that improve test efficiency, reliability, repeatability, and coverage. The position reports to the Sr Manager, Systems Software Test and is part of the Software Test Engineering department located in Irvine, CA and will be an on-site role. In This Role, You Will Have The Opportunity To: Develop, execute, and maintain scalable automated test frameworks and support infrastructure for instrument and system-level testing. Develop reusable test libraries, device interfaces, protocol libraries, utilities, and common automation components across instrument platforms and downstream system integrations. Contribute to system and product test strategies with an emphasis on automation, repeatability, scalability, and maintainability. Collaborate with development teams during product design to improve system testability, observability, interfaces, communication protocols, and diagnostic capabilities. The Essential Requirements Of The Job Include: B.S. Degree in computer science, computer engineering, software engineering, biomedical engineering, or related technical discipline. 3+ years of experience in software development, test automation, software verification, or a related engineering discipline working with automated testing tools and scripting languages (Python, C#, C++, Java, or similar). Experience with Git, CI/CD systems, and modern software development practices. Familiarity with defect tracking and test management tools. Understanding of Software Development Life Cycle (SDLC) and Agile development methodologies. Strong debugging, problem-solving, communication, and cross-functional collaboration skills. It would be a plus if you also possess previous experience in: Experience within the medical device or other regulated industry. Familiarity with IEC 62304, ISO 13485, FDA Quality System Regulation, or other applicable software quality standards. Familiarity with healthcare interoperability or messaging standards (e.g., HL7, WCTP) or other structured data/protocol formats. Experience with cloud platforms (e.g., AWS, Azure, GCP) and container/orchestration tooling (e.g., Docker, Kubernetes). Masimo, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. The annual salary range OR the hourly range for this role is $80,000 - $105,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for up to a 10% annual bonus. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
11/13/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Date Posted: 2026-08-26 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This is your opportunity to join the Receiver/ Exciter & Processing Architecture (REPA) Department as a Software Engineer II. The department's primary goal is to design, develop, and support land and sea-based radar systems. We are looking for a unique engineer to enhance the sustainability of our current radar products. The ideal candidate will have experience in legacy radar hardware and software technologies, with an interest and ability to transition these products to current technologies while maintaining and troubleshooting and patching our deployed systems. What You Will Do: Provide expertise in modern C++ development and hands on experience across Linux, MATLAB, DevOps tooling, and Python. Work within Linux to develop C/C++ and MatLab tools to build and test the DREXs going into the next generation of Radars. Work closely with hardware and firmware engineers to work out technical challenges and deliver advanced capabilities. This 1st shift role will be 100% onsite and based in Marlborough, MA. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Experience in C++ (C+/17/20), including object-oriented design and performance optimization. Experience developing in Linux environments (e.g., command-line workflows, build systems, debugging tools). Experience with DevOps concepts and tools (e.g., GitLab CI, Jenkins, Docker, Kubernetes, automated build/test pipelines). Experience with MATLAB (e.g., algorithm development, modeling, numerical analysis). The ability to obtain and maintain an Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with Python (e.g., scripting, test automation, data analysis). Experience with radar signal processing, RF systems, or software-defined radio (SDR). Experience with tools like GNU Radio, USRP platforms, or similar SDR frameworks. Experience in digital signal processing, real-time systems, or embedded development. Experience in high-throughput, low-latency system design. Ability to work effectively in a collaborative, technical engineering environment. Active / Existing Secret U.S. Security Clearance. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-08-26 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This is your opportunity to join the Receiver/ Exciter & Processing Architecture (REPA) Department as a Software Engineer II. The department's primary goal is to design, develop, and support land and sea-based radar systems. We are looking for a unique engineer to enhance the sustainability of our current radar products. The ideal candidate will have experience in legacy radar hardware and software technologies, with an interest and ability to transition these products to current technologies while maintaining and troubleshooting and patching our deployed systems. What You Will Do: Provide expertise in modern C++ development and hands on experience across Linux, MATLAB, DevOps tooling, and Python. Work within Linux to develop C/C++ and MatLab tools to build and test the DREXs going into the next generation of Radars. Work closely with hardware and firmware engineers to work out technical challenges and deliver advanced capabilities. This 1st shift role will be 100% onsite and based in Marlborough, MA. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Experience in C++ (C+/17/20), including object-oriented design and performance optimization. Experience developing in Linux environments (e.g., command-line workflows, build systems, debugging tools). Experience with DevOps concepts and tools (e.g., GitLab CI, Jenkins, Docker, Kubernetes, automated build/test pipelines). Experience with MATLAB (e.g., algorithm development, modeling, numerical analysis). The ability to obtain and maintain an Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with Python (e.g., scripting, test automation, data analysis). Experience with radar signal processing, RF systems, or software-defined radio (SDR). Experience with tools like GNU Radio, USRP platforms, or similar SDR frameworks. Experience in digital signal processing, real-time systems, or embedded development. Experience in high-throughput, low-latency system design. Ability to work effectively in a collaborative, technical engineering environment. Active / Existing Secret U.S. Security Clearance. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Controls / Process Automation Engineer III Pay Range: $87,000 - $118,000 depending on relevant experience and qualifications Location: North Venice, FL 34275 The Process Automation Engineer provides ownership or custodian support for site process automation and data collection systems for PGT Venice manufacturing operations. Partnering with operations, engineering, IT, and maintenance functions will be critical to effectively supporting these site systems. This position provides technical mentoring and coaching for the process automation staff. This position requires direct technical support of process automation systems and projects Responsibilities Manage and oversee 24/7 support of site process automation and data collection systems for manufacturing and utilities systems Own the commissioning and qualification process for process automation systems; develop and ensure compliance with established local quality standards Develop, maintain, and implement the process automation functional agenda for the site Ensure function is aligned and driven to meet engineering goals, and partner with Quality, Engineering, and Operations leadership to deliver operational results Function as system owner for exclusive process automation systems not assigned to other engineering or operations functions Assign resources to provide system custodianship for site process automation and data collection systems Own and manage site procedures and technical standards for the automation function Direct and oversee continuous improvement and recapitalization of owned and custodianed systems for the site Direct and oversee root cause investigations of owned and custodianed system nonconformances Provide management support for automation contractor personnel Qualifications Bachelor of Science in Engineering: preferably Electrical, Mechanical, or related field, or extensive experience in similar roles Minimum 10 years' manufacturing experience: automation, process, plant, project delivery, or related areas Software proficiency in Microsoft Office Suite Proficiency in programming process automation systems including common PLC and SCADA platforms Strong communication and networking skills Knowledge of manufacturing safety requirements for automated systems Travel requirements Ability to travel occasionally domestically (up to 30%) Physical demands / Work environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Usual office environment with frequent sitting, walking, and standing, and occasional climbing, stooping, kneeling, crouching, crawling, and balancing Frequent use of eye, hand, and finger coordination enabling the use of office machinery Oral and auditory capacity enabling interpersonal communication as well as communication through automated devices such as the telephone MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and PGTI is one of the nation's largest suppliers of vinyl windows and patio doors, with plants across the country. What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan options Prescription drug coverage Dental insurance Vision insurance Teladoc virtual healthcare services Employee Assistance Program (EAP) Annual Wellness Clinic Financial Protection Company-paid Life Insurance Voluntary Life Insurance Company-paid Short-Term Disability Company-paid Long-Term Disability Supplemental Hospital Indemnity Insurance Critical Illness Insurance Accident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays 401(k) retirement plan with company match Tuition Reimbursement Program Legal Insurance Identity Theft Protection Pet Insurance Team Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the U.S. and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.
11/13/2026
Full time
Job Description Controls / Process Automation Engineer III Pay Range: $87,000 - $118,000 depending on relevant experience and qualifications Location: North Venice, FL 34275 The Process Automation Engineer provides ownership or custodian support for site process automation and data collection systems for PGT Venice manufacturing operations. Partnering with operations, engineering, IT, and maintenance functions will be critical to effectively supporting these site systems. This position provides technical mentoring and coaching for the process automation staff. This position requires direct technical support of process automation systems and projects Responsibilities Manage and oversee 24/7 support of site process automation and data collection systems for manufacturing and utilities systems Own the commissioning and qualification process for process automation systems; develop and ensure compliance with established local quality standards Develop, maintain, and implement the process automation functional agenda for the site Ensure function is aligned and driven to meet engineering goals, and partner with Quality, Engineering, and Operations leadership to deliver operational results Function as system owner for exclusive process automation systems not assigned to other engineering or operations functions Assign resources to provide system custodianship for site process automation and data collection systems Own and manage site procedures and technical standards for the automation function Direct and oversee continuous improvement and recapitalization of owned and custodianed systems for the site Direct and oversee root cause investigations of owned and custodianed system nonconformances Provide management support for automation contractor personnel Qualifications Bachelor of Science in Engineering: preferably Electrical, Mechanical, or related field, or extensive experience in similar roles Minimum 10 years' manufacturing experience: automation, process, plant, project delivery, or related areas Software proficiency in Microsoft Office Suite Proficiency in programming process automation systems including common PLC and SCADA platforms Strong communication and networking skills Knowledge of manufacturing safety requirements for automated systems Travel requirements Ability to travel occasionally domestically (up to 30%) Physical demands / Work environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Usual office environment with frequent sitting, walking, and standing, and occasional climbing, stooping, kneeling, crouching, crawling, and balancing Frequent use of eye, hand, and finger coordination enabling the use of office machinery Oral and auditory capacity enabling interpersonal communication as well as communication through automated devices such as the telephone MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and PGTI is one of the nation's largest suppliers of vinyl windows and patio doors, with plants across the country. What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan options Prescription drug coverage Dental insurance Vision insurance Teladoc virtual healthcare services Employee Assistance Program (EAP) Annual Wellness Clinic Financial Protection Company-paid Life Insurance Voluntary Life Insurance Company-paid Short-Term Disability Company-paid Long-Term Disability Supplemental Hospital Indemnity Insurance Critical Illness Insurance Accident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays 401(k) retirement plan with company match Tuition Reimbursement Program Legal Insurance Identity Theft Protection Pet Insurance Team Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the U.S. and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job As a Data Platform Engineer, Infrastructure, you will build and operate the cloud foundation the entire data platform runs on - the systems every robot log, dashboard, and model-training run depends on. You will collaborate with pipeline and analytics engineers, as well as edge and robotics teams, to keep the platform reliable, secure, and cost-efficient as our fleet grows. About the Data Platform Team Every robot we deploy generates a continuous stream of telemetry, sensor logs, and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem list that drives our engineering roadmap. What You'll Get To Do Design, build, and operate the cloud infrastructure for the data platform: compute (Kubernetes, serverless, batch clusters), storage (object stores, warehouse/lakehouse), and networking. Manage everything as code: Terraform/IaC, GitOps workflows, and CI/CD for infrastructure and data services. Provision and tune infrastructure for heavy workloads: large-scale sensor data processing, distributed pipeline execution, and ML training and evaluation jobs. Own platform reliability: SLAs/SLOs, on-call practices, incident response, and capacity planning as fleet data volume grows. Implement security and governance: IAM and access controls, secrets management, encryption, audit logging, and environment isolation. Own cloud cost management: monitoring, budgeting, and optimization across storage and compute. Build the observability stack (metrics, logging, tracing) for all data platform services. Build internal tooling and paved paths so pipeline and analytics engineers can ship without becoming infrastructure experts. What You Have Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3-5+ years of experience in infrastructure, platform, DevOps, or SRE roles, ideally supporting data-intensive systems. Strong experience with a major cloud (AWS or GCP), Kubernetes, and infrastructure-as-code (Terraform or similar). Strong programming skills in Python, Go, or similar for automation and internal tooling. Experience operating production systems: monitoring, alerting, incident response, and capacity planning. Working knowledge of data infrastructure components (warehouses, object storage, streaming systems, orchestrators) and what they demand from underlying infrastructure. Experience with security fundamentals: IAM, network security, secrets management. Strong problem-solving skills and ability to work in interdisciplinary teams. The Extras That Set You Apart Experience supporting data or ML platforms specifically (Spark/Databricks clusters, GPU scheduling, feature stores). Experience with high-volume telemetry or IoT/edge fleets. Track record of significant cloud cost optimization. Prior experience as an early platform/infrastructure hire, building from zero. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/13/2026
Full time
Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job As a Data Platform Engineer, Infrastructure, you will build and operate the cloud foundation the entire data platform runs on - the systems every robot log, dashboard, and model-training run depends on. You will collaborate with pipeline and analytics engineers, as well as edge and robotics teams, to keep the platform reliable, secure, and cost-efficient as our fleet grows. About the Data Platform Team Every robot we deploy generates a continuous stream of telemetry, sensor logs, and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem list that drives our engineering roadmap. What You'll Get To Do Design, build, and operate the cloud infrastructure for the data platform: compute (Kubernetes, serverless, batch clusters), storage (object stores, warehouse/lakehouse), and networking. Manage everything as code: Terraform/IaC, GitOps workflows, and CI/CD for infrastructure and data services. Provision and tune infrastructure for heavy workloads: large-scale sensor data processing, distributed pipeline execution, and ML training and evaluation jobs. Own platform reliability: SLAs/SLOs, on-call practices, incident response, and capacity planning as fleet data volume grows. Implement security and governance: IAM and access controls, secrets management, encryption, audit logging, and environment isolation. Own cloud cost management: monitoring, budgeting, and optimization across storage and compute. Build the observability stack (metrics, logging, tracing) for all data platform services. Build internal tooling and paved paths so pipeline and analytics engineers can ship without becoming infrastructure experts. What You Have Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3-5+ years of experience in infrastructure, platform, DevOps, or SRE roles, ideally supporting data-intensive systems. Strong experience with a major cloud (AWS or GCP), Kubernetes, and infrastructure-as-code (Terraform or similar). Strong programming skills in Python, Go, or similar for automation and internal tooling. Experience operating production systems: monitoring, alerting, incident response, and capacity planning. Working knowledge of data infrastructure components (warehouses, object storage, streaming systems, orchestrators) and what they demand from underlying infrastructure. Experience with security fundamentals: IAM, network security, secrets management. Strong problem-solving skills and ability to work in interdisciplinary teams. The Extras That Set You Apart Experience supporting data or ML platforms specifically (Spark/Databricks clusters, GPU scheduling, feature stores). Experience with high-volume telemetry or IoT/edge fleets. Track record of significant cloud cost optimization. Prior experience as an early platform/infrastructure hire, building from zero. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Company Founded by CPAs, tax attorneys, and engineers, Taxbit is the leading innovator automating global tax reporting for the digital economy. Taxbit's AI-enabled platform streamlines compliance related to digital assets, payments, and other financial transactions. Its unique combination of deep subject matter expertise and AI-forward technology have made it a fast-growing disruptor trusted by the world's leading fintechs, marketplaces, digital asset players, Big 4 accounting firms, traditional enterprises, and government agencies. Backed by top-tier Silicon Valley VCs, Taxbit's team is located across offices in San Francisco, New York, Seattle, Salt Lake City, London, Madrid, and Singapore. Opportunity for Impact TaxBit is looking for a Staff Software Engineer to join our Systems, Security & Compliance organization and take ownership of the cloud infrastructure that powers our platform. In this role, you will be a technical leader for our AWS environment, driving the architecture, automation, and operational excellence of systems that our customers and internal teams depend on. You will also help shape and drive our AI (Dev)Ops strategy, defining how we deploy, monitor, and operate AI-enabled systems responsibly and at scale. You will have broad influence over how we build, deploy, secure, and monitor infrastructure at scale, partnering closely with engineering, security, and compliance stakeholders to raise the bar on reliability, security, and developer velocity across the company. Role and Responsibilities Design, build, and operate secure, highly available cloud infrastructure on AWS supporting TaxBit's platform and products Own infrastructure-as-code using AWS CDK (preferred) or Terraform, driving consistency, repeatability, and version control across environments Build, maintain, and continuously improve CI/CD pipelines (GitHub/GitHub Actions) to enable safe, frequent, and reliable deployments Define and implement TaxBit's backup and disaster recovery strategy across cloud data stores and critical systems Architect and evolve data storage and processing patterns that support scalability, reliability, and cost efficiency Implement and maintain centralized logging, monitoring, and observability across services and infrastructure Implement and maintain security guardrails integrated throughout the development lifecycle Build workflow automation that reduces manual toil in infrastructure provisioning, deployments, and operations Debug and resolve complex issues across distributed, cloud-native systems, driving root-cause analysis and durable fixes Implement AI Ops/AI DevOps practices to deploy, monitor, and operate AI-enabled systems and pipelines in production Partner cross-functionally with engineering, security, and compliance teams using tools such as GitHub, Linear/Jira, and Databricks Professional Qualifications Bachelor's degree (B.Sc. minimum) in Computer Science or a related field Significant experience in systems/infrastructure engineering, with deep, hands-on expertise in AWS cloud infrastructure Strong programming skills in Python, TypeScript, or an equivalent language Required: hands-on experience with CI/CD, GitHub, and Infrastructure-as-Code (AWS CDK preferred, Terraform acceptable) Experience designing and implementing backup strategy, data architecture, and disaster recovery for cloud systems Experience implementing and maintaining logging and monitoring/observability solutions Security-minded, with experience implementing and maintaining security guardrails in engineering workflows Experience with workflow automation and strong debugging skills across distributed systems Familiarity with collaboration and workflow tooling such as Linear/Jira and Databricks Familiarity with AI governance practices and frameworks (e.g., ISO 42001) for managing AI systems responsibly Understanding of AI security risks and mitigations (e.g., model/data access controls, prompt injection, secure use of AI tooling) Personal Characteristics Security-minded by default, with a proactive approach to identifying and mitigating risk Strong sense of ownership and accountability for systems end to end Clear communicator who collaborates effectively across engineering, security, and compliance Comfortable operating with autonomy in a fast-paced, high-growth environment Pragmatic problem-solver who balances speed with reliability and security Acts as an enabler for other engineers, building platforms, tools, and guardrails that make it easier for teams to ship safely and quickly Collaborative by nature, building strong working relationships across engineering, security, and compliance to get to the best outcome together Compensation & Benefits The base salary range for this role is $170,000-$250,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications. Benefits & Perks Competitive cash compensation (based on experience) Equity (RSUs) Competitive benefits package A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more Hybrid working model: 3 days in-office, 2 days WFH/flexible Monday team lunches, snacks and drinks Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge Paid parental leave to bond with your child Fertility Benefit Autonomous work and flexibility in how work is performed Taxbit in the News Bybit Collaborates with Taxbit to Ensure Seamless Financial Compliance for Global and EU Users Taxbit Expands Global Platform to Power CARF/DAC8 Compliance at Scale Taxbit Unveils Industry-First Global Reporting Platform, Bridging Digital and Traditional Finance Taxbit Wins the Digital Banker's 2025 Digital Assets Award for Best Technology Solution Provider for Digital Assets - Tax & Compliance Automation Taxbit Named to 2024 Deloitte Technology Fast 500 List of Fastest-Growing Companies in North America Taxbit Appoints Former OECD Advisor Colby Mangels as Global Head of Government Solutions Unlocking Compliance at Scale: CARF/DAC8 Reporting for Digital Asset Platforms Disclaimers By submitting an application for this role, you certify that the information contained in the application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire you, or for discharge should you be hired. For US roles, employment with the Company is at will unless otherwise stated in a written agreement signed by the CEO of the Company. This means that either the Company or the employee can terminate the employment at any time and for any reason, with or without notice.
11/13/2026
Full time
Job Description Job Description Company Founded by CPAs, tax attorneys, and engineers, Taxbit is the leading innovator automating global tax reporting for the digital economy. Taxbit's AI-enabled platform streamlines compliance related to digital assets, payments, and other financial transactions. Its unique combination of deep subject matter expertise and AI-forward technology have made it a fast-growing disruptor trusted by the world's leading fintechs, marketplaces, digital asset players, Big 4 accounting firms, traditional enterprises, and government agencies. Backed by top-tier Silicon Valley VCs, Taxbit's team is located across offices in San Francisco, New York, Seattle, Salt Lake City, London, Madrid, and Singapore. Opportunity for Impact TaxBit is looking for a Staff Software Engineer to join our Systems, Security & Compliance organization and take ownership of the cloud infrastructure that powers our platform. In this role, you will be a technical leader for our AWS environment, driving the architecture, automation, and operational excellence of systems that our customers and internal teams depend on. You will also help shape and drive our AI (Dev)Ops strategy, defining how we deploy, monitor, and operate AI-enabled systems responsibly and at scale. You will have broad influence over how we build, deploy, secure, and monitor infrastructure at scale, partnering closely with engineering, security, and compliance stakeholders to raise the bar on reliability, security, and developer velocity across the company. Role and Responsibilities Design, build, and operate secure, highly available cloud infrastructure on AWS supporting TaxBit's platform and products Own infrastructure-as-code using AWS CDK (preferred) or Terraform, driving consistency, repeatability, and version control across environments Build, maintain, and continuously improve CI/CD pipelines (GitHub/GitHub Actions) to enable safe, frequent, and reliable deployments Define and implement TaxBit's backup and disaster recovery strategy across cloud data stores and critical systems Architect and evolve data storage and processing patterns that support scalability, reliability, and cost efficiency Implement and maintain centralized logging, monitoring, and observability across services and infrastructure Implement and maintain security guardrails integrated throughout the development lifecycle Build workflow automation that reduces manual toil in infrastructure provisioning, deployments, and operations Debug and resolve complex issues across distributed, cloud-native systems, driving root-cause analysis and durable fixes Implement AI Ops/AI DevOps practices to deploy, monitor, and operate AI-enabled systems and pipelines in production Partner cross-functionally with engineering, security, and compliance teams using tools such as GitHub, Linear/Jira, and Databricks Professional Qualifications Bachelor's degree (B.Sc. minimum) in Computer Science or a related field Significant experience in systems/infrastructure engineering, with deep, hands-on expertise in AWS cloud infrastructure Strong programming skills in Python, TypeScript, or an equivalent language Required: hands-on experience with CI/CD, GitHub, and Infrastructure-as-Code (AWS CDK preferred, Terraform acceptable) Experience designing and implementing backup strategy, data architecture, and disaster recovery for cloud systems Experience implementing and maintaining logging and monitoring/observability solutions Security-minded, with experience implementing and maintaining security guardrails in engineering workflows Experience with workflow automation and strong debugging skills across distributed systems Familiarity with collaboration and workflow tooling such as Linear/Jira and Databricks Familiarity with AI governance practices and frameworks (e.g., ISO 42001) for managing AI systems responsibly Understanding of AI security risks and mitigations (e.g., model/data access controls, prompt injection, secure use of AI tooling) Personal Characteristics Security-minded by default, with a proactive approach to identifying and mitigating risk Strong sense of ownership and accountability for systems end to end Clear communicator who collaborates effectively across engineering, security, and compliance Comfortable operating with autonomy in a fast-paced, high-growth environment Pragmatic problem-solver who balances speed with reliability and security Acts as an enabler for other engineers, building platforms, tools, and guardrails that make it easier for teams to ship safely and quickly Collaborative by nature, building strong working relationships across engineering, security, and compliance to get to the best outcome together Compensation & Benefits The base salary range for this role is $170,000-$250,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications. Benefits & Perks Competitive cash compensation (based on experience) Equity (RSUs) Competitive benefits package A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more Hybrid working model: 3 days in-office, 2 days WFH/flexible Monday team lunches, snacks and drinks Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge Paid parental leave to bond with your child Fertility Benefit Autonomous work and flexibility in how work is performed Taxbit in the News Bybit Collaborates with Taxbit to Ensure Seamless Financial Compliance for Global and EU Users Taxbit Expands Global Platform to Power CARF/DAC8 Compliance at Scale Taxbit Unveils Industry-First Global Reporting Platform, Bridging Digital and Traditional Finance Taxbit Wins the Digital Banker's 2025 Digital Assets Award for Best Technology Solution Provider for Digital Assets - Tax & Compliance Automation Taxbit Named to 2024 Deloitte Technology Fast 500 List of Fastest-Growing Companies in North America Taxbit Appoints Former OECD Advisor Colby Mangels as Global Head of Government Solutions Unlocking Compliance at Scale: CARF/DAC8 Reporting for Digital Asset Platforms Disclaimers By submitting an application for this role, you certify that the information contained in the application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire you, or for discharge should you be hired. For US roles, employment with the Company is at will unless otherwise stated in a written agreement signed by the CEO of the Company. This means that either the Company or the employee can terminate the employment at any time and for any reason, with or without notice.
Job Description Job Description Wanna join the adventure? Loft Orbital is revolutionizing access to space by building reliable, shareable satellites that drastically reduce the time and complexity traditionally required to get to orbit. We operate satellites, fly customer payloads, and handle entire missions from end-to-end. We're a close-knit team of space enthusiasts, software experts, and cutting-edge technologists, all working together to make space simple for our customers. As a Senior Cloud Infrastructure Engineer on our Cloud Infrastructure Team, you'll play a pivotal role in maintaining and scaling our ground segment infrastructure. You'll collaborate across development, operations, and IT to ensure the integration, delivery, and reliability of services that support our space operations on Earth and in orbit. This is an exciting opportunity to work on cutting-edge technology and help build modern automated space infrastructure. This is not your typical SRE role, we apply DevOps principles even to spacecraft control. Yes, we call it SatDevOps , and we'll train you to operate our satellites! About the Role: Collaborate with developers and satellite operators to foster a strong SatDevOps culture . Design, implement, and maintain scalable, reliable, and secure infrastructure in a hybrid cloud environment. Improve our developer experience by building better tools, workflows, and environments. Lead efforts to automate and optimize systems, including CI/CD pipelines , infrastructure provisioning (IaC) , and deployment workflows. Own and evolve our observability stack (metrics, tracing, logs) to improve usability and performance. Grafana-centric ecosystems are a plus. Implement and advocate for best practices in software reliability, fault tolerance, and performance tuning. Proactively identify, investigate, and resolve system reliability issues , performing root cause analyses and implementing long-term fixes. Partner with teams to design and operate Software Defined Network (SDN) solutions. Contribute to a collaborative and inclusive team culture where respectful debate and continuous learning are celebrated. Must Haves: Strong experience with public cloud infrastructure , ideally GCP. Deep expertise in Kubernetes , architecture, deployment, ops, and resource optimization. Demonstrated ability to design and build scalable, highly available systems . Familiarity with Software Defined Networking (SDN) concepts and tools. Experience implementing and maintaining observability stacks (Grafana, Prometheus, Loki, etc.). Proficiency in at least one backend language: Go, Python, Rust, C/C++, or Java . Deep understanding and hands-on experience with DevOps practices : CI/CD, infrastructure as code (IaC), and automation. Proven track record of working in fast-paced, high-growth technical environments . Excellent problem-solving skills and ability to operate independently with a proactive, results-driven mindset . Strong communication skills; thrives in a multicultural, cross-functional team. Nice to Haves: Hands-on experience with GitOps frameworks (ArgoCD, FluxCD). Interest or experience in FinOps and cost-optimized architectures . Understanding of orchestration in resource-constrained environments , like space systems. Knowledge of systems engineering tools and SDLC governance. Familiarity with security practices , vulnerability scanning, threat detection, risk mitigation. Master's degree in Computer Science or a similar field Some of Our Awesome Benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks in office International exposure to our team in France Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $180,000- $240,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA Golden, CO and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/13/2026
Full time
Job Description Job Description Wanna join the adventure? Loft Orbital is revolutionizing access to space by building reliable, shareable satellites that drastically reduce the time and complexity traditionally required to get to orbit. We operate satellites, fly customer payloads, and handle entire missions from end-to-end. We're a close-knit team of space enthusiasts, software experts, and cutting-edge technologists, all working together to make space simple for our customers. As a Senior Cloud Infrastructure Engineer on our Cloud Infrastructure Team, you'll play a pivotal role in maintaining and scaling our ground segment infrastructure. You'll collaborate across development, operations, and IT to ensure the integration, delivery, and reliability of services that support our space operations on Earth and in orbit. This is an exciting opportunity to work on cutting-edge technology and help build modern automated space infrastructure. This is not your typical SRE role, we apply DevOps principles even to spacecraft control. Yes, we call it SatDevOps , and we'll train you to operate our satellites! About the Role: Collaborate with developers and satellite operators to foster a strong SatDevOps culture . Design, implement, and maintain scalable, reliable, and secure infrastructure in a hybrid cloud environment. Improve our developer experience by building better tools, workflows, and environments. Lead efforts to automate and optimize systems, including CI/CD pipelines , infrastructure provisioning (IaC) , and deployment workflows. Own and evolve our observability stack (metrics, tracing, logs) to improve usability and performance. Grafana-centric ecosystems are a plus. Implement and advocate for best practices in software reliability, fault tolerance, and performance tuning. Proactively identify, investigate, and resolve system reliability issues , performing root cause analyses and implementing long-term fixes. Partner with teams to design and operate Software Defined Network (SDN) solutions. Contribute to a collaborative and inclusive team culture where respectful debate and continuous learning are celebrated. Must Haves: Strong experience with public cloud infrastructure , ideally GCP. Deep expertise in Kubernetes , architecture, deployment, ops, and resource optimization. Demonstrated ability to design and build scalable, highly available systems . Familiarity with Software Defined Networking (SDN) concepts and tools. Experience implementing and maintaining observability stacks (Grafana, Prometheus, Loki, etc.). Proficiency in at least one backend language: Go, Python, Rust, C/C++, or Java . Deep understanding and hands-on experience with DevOps practices : CI/CD, infrastructure as code (IaC), and automation. Proven track record of working in fast-paced, high-growth technical environments . Excellent problem-solving skills and ability to operate independently with a proactive, results-driven mindset . Strong communication skills; thrives in a multicultural, cross-functional team. Nice to Haves: Hands-on experience with GitOps frameworks (ArgoCD, FluxCD). Interest or experience in FinOps and cost-optimized architectures . Understanding of orchestration in resource-constrained environments , like space systems. Knowledge of systems engineering tools and SDLC governance. Familiarity with security practices , vulnerability scanning, threat detection, risk mitigation. Master's degree in Computer Science or a similar field Some of Our Awesome Benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks in office International exposure to our team in France Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $180,000- $240,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA Golden, CO and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Wanna join the adventure? Loft Orbital is revolutionizing access to space by building reliable, shareable satellites that drastically reduce the time and complexity traditionally required to get to orbit. We operate satellites, fly customer payloads, and handle entire missions from end-to-end. We're a close-knit team of space enthusiasts, software experts, and cutting-edge technologists, all working together to make space simple for our customers. As a Senior Cloud Infrastructure Engineer on our Cloud Infrastructure Team, you'll play a pivotal role in maintaining and scaling our ground segment infrastructure. You'll collaborate across development, operations, and IT to ensure the integration, delivery, and reliability of services that support our space operations on Earth and in orbit. This is an exciting opportunity to work on cutting-edge technology and help build modern automated space infrastructure. This is not your typical SRE role, we apply DevOps principles even to spacecraft control. Yes, we call it SatDevOps , and we'll train you to operate our satellites! About the Role: Collaborate with developers and satellite operators to foster a strong SatDevOps culture . Design, implement, and maintain scalable, reliable, and secure infrastructure in a hybrid cloud environment. Improve our developer experience by building better tools, workflows, and environments. Lead efforts to automate and optimize systems, including CI/CD pipelines , infrastructure provisioning (IaC) , and deployment workflows. Own and evolve our observability stack (metrics, tracing, logs) to improve usability and performance. Grafana-centric ecosystems are a plus. Implement and advocate for best practices in software reliability, fault tolerance, and performance tuning. Proactively identify, investigate, and resolve system reliability issues , performing root cause analyses and implementing long-term fixes. Partner with teams to design and operate Software Defined Network (SDN) solutions. Contribute to a collaborative and inclusive team culture where respectful debate and continuous learning are celebrated. Must Haves: Strong experience with public cloud infrastructure , ideally GCP. Deep expertise in Kubernetes , architecture, deployment, ops, and resource optimization. Demonstrated ability to design and build scalable, highly available systems . Familiarity with Software Defined Networking (SDN) concepts and tools. Experience implementing and maintaining observability stacks (Grafana, Prometheus, Loki, etc.). Proficiency in at least one backend language: Go, Python, Rust, C/C++, or Java . Deep understanding and hands-on experience with DevOps practices : CI/CD, infrastructure as code (IaC), and automation. Proven track record of working in fast-paced, high-growth technical environments . Excellent problem-solving skills and ability to operate independently with a proactive, results-driven mindset . Strong communication skills; thrives in a multicultural, cross-functional team. Nice to Haves: Hands-on experience with GitOps frameworks (ArgoCD, FluxCD). Interest or experience in FinOps and cost-optimized architectures . Understanding of orchestration in resource-constrained environments , like space systems. Knowledge of systems engineering tools and SDLC governance. Familiarity with security practices , vulnerability scanning, threat detection, risk mitigation. Master's degree in Computer Science or a similar field Some of Our Awesome Benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks in office International exposure to our team in France Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $180,000- $240,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA Golden, CO and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/13/2026
Full time
Job Description Job Description Wanna join the adventure? Loft Orbital is revolutionizing access to space by building reliable, shareable satellites that drastically reduce the time and complexity traditionally required to get to orbit. We operate satellites, fly customer payloads, and handle entire missions from end-to-end. We're a close-knit team of space enthusiasts, software experts, and cutting-edge technologists, all working together to make space simple for our customers. As a Senior Cloud Infrastructure Engineer on our Cloud Infrastructure Team, you'll play a pivotal role in maintaining and scaling our ground segment infrastructure. You'll collaborate across development, operations, and IT to ensure the integration, delivery, and reliability of services that support our space operations on Earth and in orbit. This is an exciting opportunity to work on cutting-edge technology and help build modern automated space infrastructure. This is not your typical SRE role, we apply DevOps principles even to spacecraft control. Yes, we call it SatDevOps , and we'll train you to operate our satellites! About the Role: Collaborate with developers and satellite operators to foster a strong SatDevOps culture . Design, implement, and maintain scalable, reliable, and secure infrastructure in a hybrid cloud environment. Improve our developer experience by building better tools, workflows, and environments. Lead efforts to automate and optimize systems, including CI/CD pipelines , infrastructure provisioning (IaC) , and deployment workflows. Own and evolve our observability stack (metrics, tracing, logs) to improve usability and performance. Grafana-centric ecosystems are a plus. Implement and advocate for best practices in software reliability, fault tolerance, and performance tuning. Proactively identify, investigate, and resolve system reliability issues , performing root cause analyses and implementing long-term fixes. Partner with teams to design and operate Software Defined Network (SDN) solutions. Contribute to a collaborative and inclusive team culture where respectful debate and continuous learning are celebrated. Must Haves: Strong experience with public cloud infrastructure , ideally GCP. Deep expertise in Kubernetes , architecture, deployment, ops, and resource optimization. Demonstrated ability to design and build scalable, highly available systems . Familiarity with Software Defined Networking (SDN) concepts and tools. Experience implementing and maintaining observability stacks (Grafana, Prometheus, Loki, etc.). Proficiency in at least one backend language: Go, Python, Rust, C/C++, or Java . Deep understanding and hands-on experience with DevOps practices : CI/CD, infrastructure as code (IaC), and automation. Proven track record of working in fast-paced, high-growth technical environments . Excellent problem-solving skills and ability to operate independently with a proactive, results-driven mindset . Strong communication skills; thrives in a multicultural, cross-functional team. Nice to Haves: Hands-on experience with GitOps frameworks (ArgoCD, FluxCD). Interest or experience in FinOps and cost-optimized architectures . Understanding of orchestration in resource-constrained environments , like space systems. Knowledge of systems engineering tools and SDLC governance. Familiarity with security practices , vulnerability scanning, threat detection, risk mitigation. Master's degree in Computer Science or a similar field Some of Our Awesome Benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks in office International exposure to our team in France Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $180,000- $240,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA Golden, CO and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Senior IT Systems Engineer builds, improves, and sustains classified infrastructure supporting engineering work. The role covers compute, virtualization, storage, networking, identity, endpoints, and security tooling in standalone and air-gapped environments. This is a hands-on senior individual contributor position. Responsibilities include racking and imaging hardware, building and hardening systems, automating repeatable work, troubleshooting difficult issues, and helping establish technical standards across sites. The engineer must be comfortable working independently, shifting across infrastructure disciplines when needed, and owning work from design through testing, documentation, and support. The role sits between IT operations and accreditation. Systems must be secure, reliable, and ready for review by ISSMs and government assessors. Correct implementation the first time, backed by complete documentation and technical evidence, is an expected part of every build. What you'll do: Build and operate classified infrastructure Deploy, configure, and sustain Windows Server and Red Hat Enterprise Linux systems, virtualization clusters, enterprise storage, and core infrastructure services in standalone and air-gapped enclaves. Build and support VMware, Nutanix AHV/Prism, or similar virtualization environments. Nutanix experience is preferred. Support high-density compute for AI/ML, simulation, and engineering workloads, including GPU node provisioning, performance troubleshooting, capacity planning, and coordination with facilities on rack space, power, and cooling. Administer and support Active Directory, DNS, DHCP, Group Policy, PKI, certificate services, privileged access, and role-based access for isolated forests with no connection to corporate IT. Build and maintain golden images and hardened baselines for servers, workstations, virtual desktops, and supporting infrastructure. Manage patching, updates, software packages, and security content in disconnected environments through approved transfer and validation processes. Administer backup, recovery, and continuity capabilities. Perform scheduled restore testing and document results and corrective actions. Design, configure, and troubleshoot managed switching, VLANs, firewall rules, network segmentation, and approved network connections between facilities. Coordinate with network and security teams to maintain secure, supportable network standards. Automate and standardize Automate provisioning, configuration, patching, reporting, and compliance tasks using PowerShell, Ansible, Python, Terraform, or similar tools. Create repeatable build processes, system baselines, checklists, and runbooks so systems can be deployed consistently rather than built by hand each time. Improve existing processes by reducing manual steps, preventing common errors, and documenting effective methods for building and supporting systems. Apply and validate DISA STIGs and SRGs using SCAP, STIG Viewer, ACAS/Nessus, scripted remediation, and other approved tools. Maintain configuration-management records, as-built documentation, change records, and scan evidence so system configurations can be understood and defended later. Review technical changes before production implementation, with attention to security, availability, rollback planning, and operational impact. Support accreditation and security operations Work with ISSMs, ISSOs, security teams, and program stakeholders to implement NIST SP 800-53, JSIG, RMF, and program-specific technical controls. Provide technical documentation and evidence for authorization packages, continuous monitoring, assessments, and audits. Implement and maintain audit logging and forwarding, including Elastic or similar centralized logging and SIEM tools. Support vulnerability management through ACAS/Nessus scanning, findings triage, remediation planning, patching, and validation during approved maintenance windows. Help resolve technical POA&M items and document remediation steps, validation results, and remaining risks. Support approved media handling, file transfer, cross-domain processes, and contamination or spillage response alongside the security team. Support users and sites Act as a senior escalation point for classified IT issues that block engineering work or require deeper troubleshooting across multiple systems. Identify and correct root causes rather than relying on repeated fixes or workarounds. Support user-account, privileged-access, and workstation-access requests consistent with least privilege and separation-of-duties requirements. Support new facility and enclave stand-ups from rack layout and cabling through infrastructure deployment, user onboarding, and operational handoff. Mentor junior system administrators and site IT staff, review implementation work before production release, and help improve team standards. Work independently, manage competing priorities, communicate risks early, and bring practical solutions to the team. Required qualifications: Strong hands-on experience with Windows Server, Active Directory, Group Policy, DNS, DHCP, PKI, and enterprise endpoint management. Experience administering Red Hat Enterprise Linux or similar enterprise Linux systems. Experience with VMware, Nutanix, Hyper-V, or similar enterprise virtualization platforms. Nutanix AHV/Prism experience is preferred. Experience with enterprise storage, backup/recovery, and capacity planning. Experience with managed switching, VLANs, firewall administration, network segmentation, and troubleshooting network connectivity. Experience with PowerShell and infrastructure automation. Experience with Ansible, Python, Terraform, or similar tools is a plus. Experience applying DISA STIGs, using SCAP/STIG Viewer, supporting ACAS/Nessus findings, and working in RMF, NIST SP 800-53, JSIG, or similarly regulated environments. Experience operating in disconnected, air-gapped, classified, or highly controlled environments. Ability to document work clearly, follow change control, validate results, and build systems that are easy for others to support. Ability to work independently in a fast-moving environment, shift between infrastructure disciplines when needed, and make sound technical decisions without requiring detailed direction. Preferred qualifications: Nutanix AHV, Prism Central, Files, Flow, or cluster lifecycle management. GPU server, AI/ML, simulation, VDI, or high-performance compute infrastructure. Elastic, Splunk, or other centralized logging and SIEM platforms. Disconnected WSUS, offline patching, software-repository management, or approved media-transfer workflows. Data-center buildouts, rack-and-stack, structured cabling, power/cooling coordination, and new-facility stand-ups. Relevant technical or security certifications, such as Security+, CISSP, RHCSA/RHCE, VMware VCP, Nutanix NCA/NCP, Microsoft certifications, or CCNA/CCNP. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/13/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Senior IT Systems Engineer builds, improves, and sustains classified infrastructure supporting engineering work. The role covers compute, virtualization, storage, networking, identity, endpoints, and security tooling in standalone and air-gapped environments. This is a hands-on senior individual contributor position. Responsibilities include racking and imaging hardware, building and hardening systems, automating repeatable work, troubleshooting difficult issues, and helping establish technical standards across sites. The engineer must be comfortable working independently, shifting across infrastructure disciplines when needed, and owning work from design through testing, documentation, and support. The role sits between IT operations and accreditation. Systems must be secure, reliable, and ready for review by ISSMs and government assessors. Correct implementation the first time, backed by complete documentation and technical evidence, is an expected part of every build. What you'll do: Build and operate classified infrastructure Deploy, configure, and sustain Windows Server and Red Hat Enterprise Linux systems, virtualization clusters, enterprise storage, and core infrastructure services in standalone and air-gapped enclaves. Build and support VMware, Nutanix AHV/Prism, or similar virtualization environments. Nutanix experience is preferred. Support high-density compute for AI/ML, simulation, and engineering workloads, including GPU node provisioning, performance troubleshooting, capacity planning, and coordination with facilities on rack space, power, and cooling. Administer and support Active Directory, DNS, DHCP, Group Policy, PKI, certificate services, privileged access, and role-based access for isolated forests with no connection to corporate IT. Build and maintain golden images and hardened baselines for servers, workstations, virtual desktops, and supporting infrastructure. Manage patching, updates, software packages, and security content in disconnected environments through approved transfer and validation processes. Administer backup, recovery, and continuity capabilities. Perform scheduled restore testing and document results and corrective actions. Design, configure, and troubleshoot managed switching, VLANs, firewall rules, network segmentation, and approved network connections between facilities. Coordinate with network and security teams to maintain secure, supportable network standards. Automate and standardize Automate provisioning, configuration, patching, reporting, and compliance tasks using PowerShell, Ansible, Python, Terraform, or similar tools. Create repeatable build processes, system baselines, checklists, and runbooks so systems can be deployed consistently rather than built by hand each time. Improve existing processes by reducing manual steps, preventing common errors, and documenting effective methods for building and supporting systems. Apply and validate DISA STIGs and SRGs using SCAP, STIG Viewer, ACAS/Nessus, scripted remediation, and other approved tools. Maintain configuration-management records, as-built documentation, change records, and scan evidence so system configurations can be understood and defended later. Review technical changes before production implementation, with attention to security, availability, rollback planning, and operational impact. Support accreditation and security operations Work with ISSMs, ISSOs, security teams, and program stakeholders to implement NIST SP 800-53, JSIG, RMF, and program-specific technical controls. Provide technical documentation and evidence for authorization packages, continuous monitoring, assessments, and audits. Implement and maintain audit logging and forwarding, including Elastic or similar centralized logging and SIEM tools. Support vulnerability management through ACAS/Nessus scanning, findings triage, remediation planning, patching, and validation during approved maintenance windows. Help resolve technical POA&M items and document remediation steps, validation results, and remaining risks. Support approved media handling, file transfer, cross-domain processes, and contamination or spillage response alongside the security team. Support users and sites Act as a senior escalation point for classified IT issues that block engineering work or require deeper troubleshooting across multiple systems. Identify and correct root causes rather than relying on repeated fixes or workarounds. Support user-account, privileged-access, and workstation-access requests consistent with least privilege and separation-of-duties requirements. Support new facility and enclave stand-ups from rack layout and cabling through infrastructure deployment, user onboarding, and operational handoff. Mentor junior system administrators and site IT staff, review implementation work before production release, and help improve team standards. Work independently, manage competing priorities, communicate risks early, and bring practical solutions to the team. Required qualifications: Strong hands-on experience with Windows Server, Active Directory, Group Policy, DNS, DHCP, PKI, and enterprise endpoint management. Experience administering Red Hat Enterprise Linux or similar enterprise Linux systems. Experience with VMware, Nutanix, Hyper-V, or similar enterprise virtualization platforms. Nutanix AHV/Prism experience is preferred. Experience with enterprise storage, backup/recovery, and capacity planning. Experience with managed switching, VLANs, firewall administration, network segmentation, and troubleshooting network connectivity. Experience with PowerShell and infrastructure automation. Experience with Ansible, Python, Terraform, or similar tools is a plus. Experience applying DISA STIGs, using SCAP/STIG Viewer, supporting ACAS/Nessus findings, and working in RMF, NIST SP 800-53, JSIG, or similarly regulated environments. Experience operating in disconnected, air-gapped, classified, or highly controlled environments. Ability to document work clearly, follow change control, validate results, and build systems that are easy for others to support. Ability to work independently in a fast-moving environment, shift between infrastructure disciplines when needed, and make sound technical decisions without requiring detailed direction. Preferred qualifications: Nutanix AHV, Prism Central, Files, Flow, or cluster lifecycle management. GPU server, AI/ML, simulation, VDI, or high-performance compute infrastructure. Elastic, Splunk, or other centralized logging and SIEM platforms. Disconnected WSUS, offline patching, software-repository management, or approved media-transfer workflows. Data-center buildouts, rack-and-stack, structured cabling, power/cooling coordination, and new-facility stand-ups. Relevant technical or security certifications, such as Security+, CISSP, RHCSA/RHCE, VMware VCP, Nutanix NCA/NCP, Microsoft certifications, or CCNA/CCNP. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) 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 or Machine Learning 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year 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 +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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).
11/13/2026
Full time
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) 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 or Machine Learning 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year 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 +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 4 - Intelligent Foundations and Experiences (IFX) 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 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 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Machine Learning 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).
11/13/2026
Full time
Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX) 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 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 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Machine Learning 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).
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).
11/13/2026
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 4 - Machine Learning Experiences (MLX) 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Machine Learning Engineer 4 Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning 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).
11/13/2026
Full time
Machine Learning Engineer 4 - Machine Learning Experiences (MLX) 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Machine Learning Engineer 4 Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning 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).
Machine Learning Engineer 5 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 or Machine Learning 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 Machine Learning 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 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 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).
11/13/2026
Full time
Machine Learning Engineer 5 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 or Machine Learning 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 Machine Learning 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 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 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).
