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.
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.
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job This job is a member of the Digital Customer Experience team within the Customer Experience Organization at American Airlines. As part of our transformation, this role extends our UX engineering capabilities into AI-powered automation and workflow innovation. You will partner with UX, Engineering, Product, and platform teams to design, build, and scale AI-enabled solutions that improve the speed, quality, and consistency of digital experiences. You will help embed AI-driven practices into design and development workflows, enabling teams to automate repetitive tasks, accelerate delivery, and unlock new ways of working across the enterprise. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations . Design and evolve AI-powered workflow architecture to improve performance, reliability, scalability, automation, and operational efficiency across UX and front-end processes. Build and maintain reusable AI artifacts and automation solutions (e.g., prompt frameworks, workflow pipelines, design-to-code accelerators) aligned with enterprise standards and best practices. Own the strategy and implementation of scalable AI-enabled systems and translate technical direction into easily understandable language for all levels of technical expertise. Collaborate with Engineers, Designers, Product partners, and platform teams to identify opportunities and deliver AI-driven solutions in an Agile environment. Enable product teams to adopt AI-driven workflows and modern development practices that increase speed, quality, and consistency. Measure success of AI solutions through quantitative metrics that demonstrate efficiency gains, adoption, and business impact. Produce clear, actionable guidelines that help designers and developers understand and adopt AI-enabled workflows. Regularly evaluate and optimize AI workflows to remove inefficiencies, reduce redundancy, and improve performance. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in software engineering, computer science, information systems or related field Experience in front-end development (HTML, CSS, JavaScript) Experience working in Agile environments Preferred Qualifications- Education & Prior Job Experience Master's degree in software engineering, computer science, information systems or related field Experience building or integrating AI/automation tools, APIs, or workflow systems Experience working with design systems or UX engineering practices at enterprise scale Experience collaborating with UX, product, and engineering teams to drive adoption of new technologies Skills, Licenses & Certifications Experience with design, prototyping, and component library tools such as Figma, Adobe XD or similar Accessibility best practices: WCAG 2.0+ AA compliance, localization, inclusive design Understanding of components and patterns of a design system and how each design choice is able to scale Ability to express design principles and generate consensus over to achieve on the vision Experience with iPhone/Android app design What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job This job is a member of the Digital Customer Experience team within the Customer Experience Organization at American Airlines. As part of our transformation, this role extends our UX engineering capabilities into AI-powered automation and workflow innovation. You will partner with UX, Engineering, Product, and platform teams to design, build, and scale AI-enabled solutions that improve the speed, quality, and consistency of digital experiences. You will help embed AI-driven practices into design and development workflows, enabling teams to automate repetitive tasks, accelerate delivery, and unlock new ways of working across the enterprise. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations . Design and evolve AI-powered workflow architecture to improve performance, reliability, scalability, automation, and operational efficiency across UX and front-end processes. Build and maintain reusable AI artifacts and automation solutions (e.g., prompt frameworks, workflow pipelines, design-to-code accelerators) aligned with enterprise standards and best practices. Own the strategy and implementation of scalable AI-enabled systems and translate technical direction into easily understandable language for all levels of technical expertise. Collaborate with Engineers, Designers, Product partners, and platform teams to identify opportunities and deliver AI-driven solutions in an Agile environment. Enable product teams to adopt AI-driven workflows and modern development practices that increase speed, quality, and consistency. Measure success of AI solutions through quantitative metrics that demonstrate efficiency gains, adoption, and business impact. Produce clear, actionable guidelines that help designers and developers understand and adopt AI-enabled workflows. Regularly evaluate and optimize AI workflows to remove inefficiencies, reduce redundancy, and improve performance. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in software engineering, computer science, information systems or related field Experience in front-end development (HTML, CSS, JavaScript) Experience working in Agile environments Preferred Qualifications- Education & Prior Job Experience Master's degree in software engineering, computer science, information systems or related field Experience building or integrating AI/automation tools, APIs, or workflow systems Experience working with design systems or UX engineering practices at enterprise scale Experience collaborating with UX, product, and engineering teams to drive adoption of new technologies Skills, Licenses & Certifications Experience with design, prototyping, and component library tools such as Figma, Adobe XD or similar Accessibility best practices: WCAG 2.0+ AA compliance, localization, inclusive design Understanding of components and patterns of a design system and how each design choice is able to scale Ability to express design principles and generate consensus over to achieve on the vision Experience with iPhone/Android app design What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!
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: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 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 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. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. 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. Relocation Offered Based On 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. This includes all production and maintenance employees, as they are essential to the development of our products. 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: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 132,400 USD - 251,600 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 . click apply for full job details
11/13/2026
Full time
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 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 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. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. 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. Relocation Offered Based On 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. This includes all production and maintenance employees, as they are essential to the development of our products. 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: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 132,400 USD - 251,600 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 . click apply for full job details
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate problem solvers, innovators, and dreamers - and help us connect people and build communities to compose economic opportunity for all. The Role People are at the center of everything we do. The People Technology Solutions team (within our People Operations organization) provides the enabling technology foundation for candidate and employee experience at eBay. Our ecosystem is anchored in Workday HCM and extended through best-in-class SaaS platforms, custom applications, analytics, and emerging AI driven solutions. We are looking for a product-minded Sr. People Technology Analyst to help shape and scale eBay's recruiting technology experience. This role will partner closely with Talent Acquisition, TA Operations, IT, and other collaborators. It will focus on understanding business needs, defining product priorities, and delivering solutions. These solutions help candidates, hiring managers, and recruiters navigate the entire recruiting process. Workday Recruiting is a core platform for this role, but the scope is broader than Workday configuration. The successful candidate will think end-to-end across the TA ecosystem, including integrated sourcing, screening & assessment, interview scheduling, and structured interview tools, skills data, reporting, user experience, automation, and AI-enabled capabilities. This person will help translate recruiting strategy into scalable technology solutions, and improve the candidate, manager and recruiter experiences at eBay. This individual contributor role is a hybrid role with proximity to our Salt Lake City office. Working arrangements are Hybrid (3 days onsite/week) in the Salt Lake City office. Also, the ability to work flexible hours for global collaboration, when needed. What You'll Accomplish: Serve as a product-minded technology partner for eBay's recruiting ecosystem, with Workday Recruiting as the core platform. Contribute to roadmap development for recruiting technology enhancements, balancing business priorities, user needs, operational requirements, and technical feasibility. Partner with Talent Acquisition, TA Operations, IT, and other collaborators to understand needs, define requirements, and prioritize solutions. Partner with TA Operations to support and enhance the recruiting technology ecosystem, including interview scheduling platforms (Paradox), CRM platforms (Gem, Phenom People) and AI-enabled recruiting tools (HiredScore, Textio, BrightHire, CodeSignal etc). Collaborate cross-functionally to translate business and technical requirements into scalable solution builds and AI use cases, including user stories, process flows, business rules, solution concepts, and success measures. Lead configuration, testing, deployment, and optimization of Workday Recruiting for assigned projects. Identify and implement automation opportunities using AI and workflow orchestration tools (e.g., Workday Developer Agent, Sana Agent Builder or similar platforms). Support development of custom applications using Workday Extend where tailored solutions are required. Develop and maintain reports, dashboards, and calculated fields to enable data-driven decisions. Provide production support and issue resolution while identifying root causes and scalable improvements. Support transitions, communications, training, and adoption for new/improved processes and capabilities. Partner with IT and vendors to support integrations, data flows, technical dependencies, and platform governance. Participate in internal audits, SOX cycles, data privacy reviews, and compliance-related documentation as needed. Maintain documentation, including product requirements, process maps, test scripts, release notes, project plans, and support materials. Stay ahead of Workday, recruiting technology, skills, AI, and HR technology trends, and assess their applicability to eBay's People technology ecosystem. What You'll Bring Bachelor's degree in Information Science, Human Resources, Computer Science, or equivalent experience. 3-5 years of dynamic hands-on HRIS experience, including experience with HR SaaS-based systems 3+ years of hands-on Workday configuration experience with at least 2+ years of Workday Recruiting configuration experience. Current on emerging AI trends in HR technology and assess applicability to eBay's people technology ecosystem. Strong functional expertise in recruiting end-to-end process. Strong analytical and problem-solving skills with the ability to deliver scalable solutions Excellent collaborator communication and cross-functional collaboration skills with the ability to take complex concepts and convey them simply to less technical audiences Working knowledge of data privacy regulations (e.g., GDPR). Ability to manage priorities independently in a fast-paced environment. Curiosity and willingness to learn emerging technologies and AI-enabled tools. Preferred Qualifications Workday certification in Recruiting; certifications in Workday HCM & other modules a plus Experience supporting recruiting ecosystem tools such as: Paradox, GoodTime (Interview Scheduling) Gem (CRM) HiredScore, Textio, BrightHire (AI/talent intelligence) Advanced Workday reporting expertise (calculated fields, matrix reports, dashboards). At least 1 year experience with Workday Onboarding and DocuSign integrations. Previous experience working in a service delivery model which includes a shared services organisation Previous consulting experience with a consulting/software company or previous experience with a medium-to-large multinational company Previous experience bringing to bear Workday AI/ML features to improve outcomes in HR Operations and User Experience Previous experience supporting global People processes across multiple regions (EMEA/APAC) a plus 1 or more years experience using generative AI tools (e.g., ChatGPT Enterprise, Microsoft Copilot, Gemini, Claude Code) to draft functional specifications, business requirements, test scripts, and training documentation. Accelerate report writing and calculated field logic design and/or 1 year of previous exposure to AI driven workflow automation/orchestration platforms or agent-building tools e.g. Sana Agent Builder, Google Agentspace, Glean, etc. (strongly preferred) Strong HR domain expertise with the ability to influence and promote leading practices Experience building or supporting applications using Workday Extend a plus. Additional Details The base pay range for this position is expected in the range below: $86,800 - $150,100 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible . click apply for full job details
11/13/2026
Full time
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate problem solvers, innovators, and dreamers - and help us connect people and build communities to compose economic opportunity for all. The Role People are at the center of everything we do. The People Technology Solutions team (within our People Operations organization) provides the enabling technology foundation for candidate and employee experience at eBay. Our ecosystem is anchored in Workday HCM and extended through best-in-class SaaS platforms, custom applications, analytics, and emerging AI driven solutions. We are looking for a product-minded Sr. People Technology Analyst to help shape and scale eBay's recruiting technology experience. This role will partner closely with Talent Acquisition, TA Operations, IT, and other collaborators. It will focus on understanding business needs, defining product priorities, and delivering solutions. These solutions help candidates, hiring managers, and recruiters navigate the entire recruiting process. Workday Recruiting is a core platform for this role, but the scope is broader than Workday configuration. The successful candidate will think end-to-end across the TA ecosystem, including integrated sourcing, screening & assessment, interview scheduling, and structured interview tools, skills data, reporting, user experience, automation, and AI-enabled capabilities. This person will help translate recruiting strategy into scalable technology solutions, and improve the candidate, manager and recruiter experiences at eBay. This individual contributor role is a hybrid role with proximity to our Salt Lake City office. Working arrangements are Hybrid (3 days onsite/week) in the Salt Lake City office. Also, the ability to work flexible hours for global collaboration, when needed. What You'll Accomplish: Serve as a product-minded technology partner for eBay's recruiting ecosystem, with Workday Recruiting as the core platform. Contribute to roadmap development for recruiting technology enhancements, balancing business priorities, user needs, operational requirements, and technical feasibility. Partner with Talent Acquisition, TA Operations, IT, and other collaborators to understand needs, define requirements, and prioritize solutions. Partner with TA Operations to support and enhance the recruiting technology ecosystem, including interview scheduling platforms (Paradox), CRM platforms (Gem, Phenom People) and AI-enabled recruiting tools (HiredScore, Textio, BrightHire, CodeSignal etc). Collaborate cross-functionally to translate business and technical requirements into scalable solution builds and AI use cases, including user stories, process flows, business rules, solution concepts, and success measures. Lead configuration, testing, deployment, and optimization of Workday Recruiting for assigned projects. Identify and implement automation opportunities using AI and workflow orchestration tools (e.g., Workday Developer Agent, Sana Agent Builder or similar platforms). Support development of custom applications using Workday Extend where tailored solutions are required. Develop and maintain reports, dashboards, and calculated fields to enable data-driven decisions. Provide production support and issue resolution while identifying root causes and scalable improvements. Support transitions, communications, training, and adoption for new/improved processes and capabilities. Partner with IT and vendors to support integrations, data flows, technical dependencies, and platform governance. Participate in internal audits, SOX cycles, data privacy reviews, and compliance-related documentation as needed. Maintain documentation, including product requirements, process maps, test scripts, release notes, project plans, and support materials. Stay ahead of Workday, recruiting technology, skills, AI, and HR technology trends, and assess their applicability to eBay's People technology ecosystem. What You'll Bring Bachelor's degree in Information Science, Human Resources, Computer Science, or equivalent experience. 3-5 years of dynamic hands-on HRIS experience, including experience with HR SaaS-based systems 3+ years of hands-on Workday configuration experience with at least 2+ years of Workday Recruiting configuration experience. Current on emerging AI trends in HR technology and assess applicability to eBay's people technology ecosystem. Strong functional expertise in recruiting end-to-end process. Strong analytical and problem-solving skills with the ability to deliver scalable solutions Excellent collaborator communication and cross-functional collaboration skills with the ability to take complex concepts and convey them simply to less technical audiences Working knowledge of data privacy regulations (e.g., GDPR). Ability to manage priorities independently in a fast-paced environment. Curiosity and willingness to learn emerging technologies and AI-enabled tools. Preferred Qualifications Workday certification in Recruiting; certifications in Workday HCM & other modules a plus Experience supporting recruiting ecosystem tools such as: Paradox, GoodTime (Interview Scheduling) Gem (CRM) HiredScore, Textio, BrightHire (AI/talent intelligence) Advanced Workday reporting expertise (calculated fields, matrix reports, dashboards). At least 1 year experience with Workday Onboarding and DocuSign integrations. Previous experience working in a service delivery model which includes a shared services organisation Previous consulting experience with a consulting/software company or previous experience with a medium-to-large multinational company Previous experience bringing to bear Workday AI/ML features to improve outcomes in HR Operations and User Experience Previous experience supporting global People processes across multiple regions (EMEA/APAC) a plus 1 or more years experience using generative AI tools (e.g., ChatGPT Enterprise, Microsoft Copilot, Gemini, Claude Code) to draft functional specifications, business requirements, test scripts, and training documentation. Accelerate report writing and calculated field logic design and/or 1 year of previous exposure to AI driven workflow automation/orchestration platforms or agent-building tools e.g. Sana Agent Builder, Google Agentspace, Glean, etc. (strongly preferred) Strong HR domain expertise with the ability to influence and promote leading practices Experience building or supporting applications using Workday Extend a plus. Additional Details The base pay range for this position is expected in the range below: $86,800 - $150,100 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible . click apply for full job details
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.
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), computer vision, robotics, reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 1+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 1+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of full Software Development Life Cycle (SDLC) experience Prior experience developing and implementing applications with optimization and/or machine learning models inside Prior experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.g., Open AI GPT, Google Gemini, Llama) Airline Industry experience Skills, Licenses & Certifications Proficiency in Full Stack Development Proficiency and demonstrated experience in the following technologies: J2EE technologies: Java, JSP, JMS, JAXB, JDBC, EJB Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning Cloud-based development: Azure Cloud, AWS Web Servers: Tomcat, tcServer, Websphere Web Services: REST/SOAP (JSON/WSDL/XML) Frameworks: Spring Framework, Spring Boot Front-end: Angular JS, CSS, jQuery, AJAX Build/deployment tools: Maven, Gradel, Git, Junit, Mockito Other Dev Ops Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, ElasticSearch, Logback, Log4j ADO Pipelines, Docker Other: Linux/Unix shell Scripting, JavaScript, IBM MQ/Rabbit MQ SQL Developer, IDE Proficiency in object-oriented design techniques and principles Proficiency in Retrieval Augmented Generation (RAG) techniques for generative-based AI models Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.) Experience in Agile methodologies, such as SCRUM Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), computer vision, robotics, reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 1+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 1+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of full Software Development Life Cycle (SDLC) experience Prior experience developing and implementing applications with optimization and/or machine learning models inside Prior experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.g., Open AI GPT, Google Gemini, Llama) Airline Industry experience Skills, Licenses & Certifications Proficiency in Full Stack Development Proficiency and demonstrated experience in the following technologies: J2EE technologies: Java, JSP, JMS, JAXB, JDBC, EJB Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning Cloud-based development: Azure Cloud, AWS Web Servers: Tomcat, tcServer, Websphere Web Services: REST/SOAP (JSON/WSDL/XML) Frameworks: Spring Framework, Spring Boot Front-end: Angular JS, CSS, jQuery, AJAX Build/deployment tools: Maven, Gradel, Git, Junit, Mockito Other Dev Ops Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, ElasticSearch, Logback, Log4j ADO Pipelines, Docker Other: Linux/Unix shell Scripting, JavaScript, IBM MQ/Rabbit MQ SQL Developer, IDE Proficiency in object-oriented design techniques and principles Proficiency in Retrieval Augmented Generation (RAG) techniques for generative-based AI models Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.) Experience in Agile methodologies, such as SCRUM Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Machine Learning Engineer 4 - Manager IC 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. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. 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 designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 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. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 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 - Manager IC 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. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. 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 designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 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. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 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 4 - Manager IC 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. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. 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 designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 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. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 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 - Manager IC 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. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. 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 designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 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. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 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).
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
11/13/2026
Full time
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
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.
11/11/2026
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.
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
11/10/2026
Full time
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom Primary Function This position is a unique opportunity to serve as a hands-on BI & Analytics solutions architect and subject matter expert responsible for designing, delivering and modernizing enterprise analytics solutions across SAP and non-SAP platforms, cloud data platforms, and modern analytics ecosystems. The role will partner closely with business stakeholders and technology teams to understand business needs, define scalable solutions, lead solution delivery, and drive measurable business outcomes. This individual will be fully engaged beyond technology, gaining a deep understanding of critical business processes, managing project deliverables, and collaborating across cross-functional teams to deliver innovative and value-driven analytics solutions Responsibilities Develop a deep understanding of A. O. Smith business processes and strategy through collaboration and regular engagement with key stakeholders and process owners Support the identification and implementation of process improvement opportunities, using analytics that support organizational strategy and priorities Engage and lead high visibility Analytics projects across all BI functional areas from start to finish by Meeting with stakeholders to understand the work, collaboratively develop project charters and A3s, create, manage timelines, gather, and validate requirements; and define business value Developing functional and technical specifications that translate complex requirements into robust designs Design and develop scalable enterprise analytics solutions utilizing SAP BW/4HANA, SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS (S3, Athena, Iceberg, Glue), Tableau, Power BI, and Data Lakehouse architectures while applying Data as a Product, Hub-and-Spoke, and Data Mesh modeling principles. Design and develop scalable ELT/ETL pipelines utilizing AWS Glue, SAP Data Services (BODS), SAP SDI, SQL, Python, and cloud-native integration services. Design governed semantic models and reusable business data layers that enable self-service analytics, natural language querying, and consistent KPI definitions across reporting platforms. Develop and execute analytics modernization roadmaps supporting the transition from SAP BW on HANA to SAP Business Data Cloud (BDC), SAP Datasphere, AWS Data Lakehouse, and modern self-service analytics platforms. Design and enable AI-ready data architectures that support Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, and conversational analytics capabilities. Develop and maintain solution validation, technical and functional documentation, and ensure that change management and approval processes are completed Measure actual business value realized, and conduct lessons learned Interface SAP BW with SAP and third-party analytics tools to improve usability and process efficiency Advise on development and testing proposals amongst team members across the full analytics stack Collaborate with other functional architects and business analysts to ensure end-to-end analytic needs are met Understand non-SAP business systems and support business analysts as needed Support a data driven decision culture, Analytics Road maps and Audit requests Mentor team members and functional analysts on best practices Monitor Analytics trends and best practices and identify optimization opportunities Cloud & AI Modernization Design and implement modern cloud-based analytics architectures leveraging SAP Business Data Cloud (BDC), SAP Datasphere, AWS services (Amazon S3, Athena, Glue, Iceberg), Snowflake, and Data Lakehouse patterns. Drive Data as a Product strategy by developing scalable, governed, and reusable data products that support enterprise analytics and self-service reporting. Evaluate and implement AI-powered analytics capabilities, including natural language querying, Copilot-enabled analytics, semantic models, and advanced decision-support solutions. Collaborate with business stakeholders to identify opportunities for generative AI, machine learning, and predictive analytics to improve operational efficiency and business outcomes. Qualifications Bachelor's degree in computer science, Information Systems, Mathematics, or a related field. 8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies. 5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms. Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions. Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support. Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies. Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies. Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions. Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities. Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics. Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms. Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations. Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues. Proven ability to mentor senior, intermediate, and junior developers and analysts. Strong relationship-building skills and the ability to communicate complex information effectively to technical and non-technical stakeholders across all levels of the organization. We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details
11/06/2026
Full time
Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details
