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.
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 Site Reliability Engineer you will help build the reliability practice behind it. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will partner with our Senior SRE in Zurich and work alongside our platform engineers and product teams. The first three to six months: Some of what you can expect early on: Learning our AWS environment, our serverless platform, and how our product teams build and release Contributing to the direction on observability tooling, together with the platform engineers, the SRE team, and our developers Working with the Zurich team on the incident and on-call operating model Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Define and evolve SLIs, SLOs, and error budgets with product teams, and use them to drive reliability decisions Collaborate on the design of our observability approach for a distributed serverless system, covering metrics, logs, and traces Build the incident response practice with us: on-call model, escalation, blameless post-mortems, and the loop that turns findings into hardening work Build reliability automation that detects and remediates issues before they reach clients Improve CI/CD pipelines and deployment automation on GitHub Actions to reduce operational toil and release risk Work with product teams on resilient design, capacity planning, and progressive delivery approaches such as canary and blue-green Contribute to disaster recovery design and testing for client-facing environments Partner with Security and Compliance so that operational practice holds up to regulatory and audit expectations Help us define and implement operational readiness for client go-live Mentor colleagues and support a culture of shared operational ownership 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 Site Reliability Engineering, DevOps, or production operations for distributed cloud systems, with substantial hands-on AWS experience Practical experience defining and working with SLIs, SLOs, and error budgets Strong incident response background, including on-call, triage under pressure, and post-mortem practice 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 a pragmatic approach to balancing speed and stability 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 taking a platform from pre-launch to production, including defining operational readiness criteria Experience building AI agents to monitor platform health Strong CI/CD background, ideally with GitHub Actions, including secrets management, least-privilege permissions, and deployment controls Infrastructure as Code experience with Terraform or OpenTofu Experience with progressive deployment approaches such as canary, blue-green, or rollback automation Disaster recovery design and testing for production SaaS Experience operating across more than one cloud provider, or designing for portability Experience operating a B2B SaaS platform in a regulated environment, including audit-sensitive release processes Familiarity with SOC 2, PCI DSS, or GDPR as they apply to operational practice Experience with AI-assisted engineering tools 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 Site Reliability Engineer you will help build the reliability practice behind it. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will partner with our Senior SRE in Zurich and work alongside our platform engineers and product teams. The first three to six months: Some of what you can expect early on: Learning our AWS environment, our serverless platform, and how our product teams build and release Contributing to the direction on observability tooling, together with the platform engineers, the SRE team, and our developers Working with the Zurich team on the incident and on-call operating model Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Define and evolve SLIs, SLOs, and error budgets with product teams, and use them to drive reliability decisions Collaborate on the design of our observability approach for a distributed serverless system, covering metrics, logs, and traces Build the incident response practice with us: on-call model, escalation, blameless post-mortems, and the loop that turns findings into hardening work Build reliability automation that detects and remediates issues before they reach clients Improve CI/CD pipelines and deployment automation on GitHub Actions to reduce operational toil and release risk Work with product teams on resilient design, capacity planning, and progressive delivery approaches such as canary and blue-green Contribute to disaster recovery design and testing for client-facing environments Partner with Security and Compliance so that operational practice holds up to regulatory and audit expectations Help us define and implement operational readiness for client go-live Mentor colleagues and support a culture of shared operational ownership 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 Site Reliability Engineering, DevOps, or production operations for distributed cloud systems, with substantial hands-on AWS experience Practical experience defining and working with SLIs, SLOs, and error budgets Strong incident response background, including on-call, triage under pressure, and post-mortem practice 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 a pragmatic approach to balancing speed and stability 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 taking a platform from pre-launch to production, including defining operational readiness criteria Experience building AI agents to monitor platform health Strong CI/CD background, ideally with GitHub Actions, including secrets management, least-privilege permissions, and deployment controls Infrastructure as Code experience with Terraform or OpenTofu Experience with progressive deployment approaches such as canary, blue-green, or rollback automation Disaster recovery design and testing for production SaaS Experience operating across more than one cloud provider, or designing for portability Experience operating a B2B SaaS platform in a regulated environment, including audit-sensitive release processes Familiarity with SOC 2, PCI DSS, or GDPR as they apply to operational practice Experience with AI-assisted engineering tools 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.
11/13/2026
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.
We are seeking a highly motivated and experienced AI Consultant with a proven background in AI adoption to join our AI Center of Excellence (AI COE). This position is ideal for a senior, hands-on candidate who advises customers on how to apply AI to their business, turns that advice into working results, and reports to the AI COE Lead. The role supports Client business domains, primarily in an advisory capacity, across Security (enterprise security and cybersecurity), Manufacturing, Infrastructure (build and operations), and Connected Services, with Security having the highest demand for support, followed by Manufacturing. The successful candidate will use a strong technical background to run proofs of concept (POCs) and product evaluations hands-on, and translate the results into clear recommendations, while project delivery remains owned by the Delivery Teams. Essential Functions: Description / Essential Functions: AI Advisory Advise customers and domain teams on AI adoption, from identifying and prioritizing use cases to defining roadmaps, governance and success measures. Analyze customer business processes end to end, identify where AI and automation deliver measurable value, and build the business case (ROI, cost/benefit). Lead workshops and executive briefings, and present recommendations to senior customer stakeholders. Advise on responsible and secure AI adoption, including data protection, access control and AI-specific risks such as prompt injection and data leakage. Domain Support Security (highest demand): Prioritize AI adoption for patch management and system hardening, while also advancing AI-assisted security operations such as playbook automation, incident response and investigation. Manufacturing: Shape AI use cases around factory production processes and IoT/OT data, such as predictive maintenance, quality inspection and anomaly detection. Infrastructure: Support AI use cases in infrastructure build and operations as demand arises. Connected Services: Support AI use cases in connected services as demand arises. Hands-on POC and Product Evaluation Plan, build and run POCs, including scope, success criteria, test scenarios and evaluation reports. Lead hands-on evaluations of AI and automation products and platforms (for example, Tines for security workflow automation and Ignition for industrial/OT data), and deliver objective fit/gap findings and go/no-go recommendations. Design solution architectures for AI, GenAI and AI Agent solutions on Microsoft Azure or AWS, and provide technical input to proposals, POC plans and SoWs. Knowledge Assets and Partners Capture reusable assets such as use cases, reference architectures, evaluation reports, and demo/POC materials for horizontal deployment across domains and customers. Coordinate with external partners (cloud providers, AI and security vendors, system integrators) on joint demos, POCs and validations. Requirements Minimum qualification: Required Education & Experience: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 8+ years of experience in IT consulting, solution architecture, or related technical roles, including at least 3 years of hands-on experience delivering AI, GenAI or intelligent automation solutions in production or customer POCs. Proven experience advising customers on AI adoption (use case identification, business case, roadmap and governance), credible with both business and executive stakeholders. Strong hands-on technical skills in GenAI and AI Agent technologies (for example, LLMs, RAG, prompt engineering, agent orchestration, Power Platform/Copilot Studio) and in cloud AI services on Microsoft Azure or AWS. Proven track record of running POCs and product evaluations hands-on, from planning through final recommendation. Experience applying technology or AI in at least one of Client focus domains, with enterprise security or cybersecurity strongly preferred and manufacturing as the next priority. Business-analyst capability: experience mapping end-to-end business processes and identifying where AI and automation pay off. Excellent communication, facilitation and presentation skills, and the ability to work independently in cross-functional, multicultural teams. (Candidate would be disqualified if they do not meet these requirements) Preferred Qualifications: Security domain experience, such as SOC operations, incident response, SIEM/XDR (for example, Microsoft Sentinel, Microsoft Defender or Splunk) and SOAR or security automation platforms such as Tines. Manufacturing domain experience, such as factory production processes (production, quality, maintenance, MES), IoT/OT data, and platforms such as Ignition or SCADA. Experience in infrastructure build and operations. Experience with connected services. Experience with AI Agent frameworks and protocols (for example, Semantic Kernel, LangChain/LangGraph, AutoGen or MCP) and AI platforms such as Azure AI Foundry, Azure OpenAI or Amazon Bedrock. Experience applying AI across the software development lifecycle (SDLC), including Requirements, Architecture, Story Creation, Development, and QEA Execution. Relevant certifications, such as Microsoft Azure AI Engineer, AWS Certified Machine Learning Engineer, AWS Certified Generative AI Developer, AWS Certified Data Engineer, CompTIA Security+, CISSP or CBAP. Experience working with Japanese companies or in a global, bilingual environment. Position Type/Expected Hours of Work: Hybrid work environment (2 days per week in the office). Contract-to-hire position. Occasional evening and weekend work may be required as job duties demand. Working hours are Monday Friday from 9AM 6PM. Travel: This position requires up to 10-20% travel.
11/13/2026
Full time
We are seeking a highly motivated and experienced AI Consultant with a proven background in AI adoption to join our AI Center of Excellence (AI COE). This position is ideal for a senior, hands-on candidate who advises customers on how to apply AI to their business, turns that advice into working results, and reports to the AI COE Lead. The role supports Client business domains, primarily in an advisory capacity, across Security (enterprise security and cybersecurity), Manufacturing, Infrastructure (build and operations), and Connected Services, with Security having the highest demand for support, followed by Manufacturing. The successful candidate will use a strong technical background to run proofs of concept (POCs) and product evaluations hands-on, and translate the results into clear recommendations, while project delivery remains owned by the Delivery Teams. Essential Functions: Description / Essential Functions: AI Advisory Advise customers and domain teams on AI adoption, from identifying and prioritizing use cases to defining roadmaps, governance and success measures. Analyze customer business processes end to end, identify where AI and automation deliver measurable value, and build the business case (ROI, cost/benefit). Lead workshops and executive briefings, and present recommendations to senior customer stakeholders. Advise on responsible and secure AI adoption, including data protection, access control and AI-specific risks such as prompt injection and data leakage. Domain Support Security (highest demand): Prioritize AI adoption for patch management and system hardening, while also advancing AI-assisted security operations such as playbook automation, incident response and investigation. Manufacturing: Shape AI use cases around factory production processes and IoT/OT data, such as predictive maintenance, quality inspection and anomaly detection. Infrastructure: Support AI use cases in infrastructure build and operations as demand arises. Connected Services: Support AI use cases in connected services as demand arises. Hands-on POC and Product Evaluation Plan, build and run POCs, including scope, success criteria, test scenarios and evaluation reports. Lead hands-on evaluations of AI and automation products and platforms (for example, Tines for security workflow automation and Ignition for industrial/OT data), and deliver objective fit/gap findings and go/no-go recommendations. Design solution architectures for AI, GenAI and AI Agent solutions on Microsoft Azure or AWS, and provide technical input to proposals, POC plans and SoWs. Knowledge Assets and Partners Capture reusable assets such as use cases, reference architectures, evaluation reports, and demo/POC materials for horizontal deployment across domains and customers. Coordinate with external partners (cloud providers, AI and security vendors, system integrators) on joint demos, POCs and validations. Requirements Minimum qualification: Required Education & Experience: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 8+ years of experience in IT consulting, solution architecture, or related technical roles, including at least 3 years of hands-on experience delivering AI, GenAI or intelligent automation solutions in production or customer POCs. Proven experience advising customers on AI adoption (use case identification, business case, roadmap and governance), credible with both business and executive stakeholders. Strong hands-on technical skills in GenAI and AI Agent technologies (for example, LLMs, RAG, prompt engineering, agent orchestration, Power Platform/Copilot Studio) and in cloud AI services on Microsoft Azure or AWS. Proven track record of running POCs and product evaluations hands-on, from planning through final recommendation. Experience applying technology or AI in at least one of Client focus domains, with enterprise security or cybersecurity strongly preferred and manufacturing as the next priority. Business-analyst capability: experience mapping end-to-end business processes and identifying where AI and automation pay off. Excellent communication, facilitation and presentation skills, and the ability to work independently in cross-functional, multicultural teams. (Candidate would be disqualified if they do not meet these requirements) Preferred Qualifications: Security domain experience, such as SOC operations, incident response, SIEM/XDR (for example, Microsoft Sentinel, Microsoft Defender or Splunk) and SOAR or security automation platforms such as Tines. Manufacturing domain experience, such as factory production processes (production, quality, maintenance, MES), IoT/OT data, and platforms such as Ignition or SCADA. Experience in infrastructure build and operations. Experience with connected services. Experience with AI Agent frameworks and protocols (for example, Semantic Kernel, LangChain/LangGraph, AutoGen or MCP) and AI platforms such as Azure AI Foundry, Azure OpenAI or Amazon Bedrock. Experience applying AI across the software development lifecycle (SDLC), including Requirements, Architecture, Story Creation, Development, and QEA Execution. Relevant certifications, such as Microsoft Azure AI Engineer, AWS Certified Machine Learning Engineer, AWS Certified Generative AI Developer, AWS Certified Data Engineer, CompTIA Security+, CISSP or CBAP. Experience working with Japanese companies or in a global, bilingual environment. Position Type/Expected Hours of Work: Hybrid work environment (2 days per week in the office). Contract-to-hire position. Occasional evening and weekend work may be required as job duties demand. Working hours are Monday Friday from 9AM 6PM. Travel: This position requires up to 10-20% travel.
Job Title: Sr. Java full stack Developer (Fulltime) Location: New York 3 Days onsite (Hybrid) Job Type: Full-time Note: only GC/USC visa Must have: Candidate needs to be US Citizen or Green card holder only Client is looking for individual contributor and self-motivated person Communication should be so good. Should be hands on developer cum lead. Skill set: Very strong hands-on seasoned Java, Spring boot, DevOps, Database (SQL)
11/13/2026
Full time
Job Title: Sr. Java full stack Developer (Fulltime) Location: New York 3 Days onsite (Hybrid) Job Type: Full-time Note: only GC/USC visa Must have: Candidate needs to be US Citizen or Green card holder only Client is looking for individual contributor and self-motivated person Communication should be so good. Should be hands on developer cum lead. Skill set: Very strong hands-on seasoned Java, Spring boot, DevOps, Database (SQL)
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.
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
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.
Job Description Job Description The Role Job Title: Salesforce Architect Own the Platform, Lead the Migration Franklin, TN IMPORTANT: This role is about owning a platform, not maintaining one. If you want a role where you close tickets, add fields, and log off at 5, stop reading here. Wesley runs on Salesforce today. About 350 people in sales and client resolution work in it all day. Over the next two years, we're moving some of those workloads onto platforms we build and own. We're looking for the person who will lead that work. You'll own the platform, guide a team of three developers and our outside partners, and sit with the people who use what you build until you understand their problem better than they do. Then you'll build the right thing, whether that's in Salesforce or somewhere else. You'll report to our Director of Development, who ran this org for eight years before moving into that role. You'll get a real handoff from someone who helped build it and knows where every workaround lives. We build with AI every day, using Claude Code, Codex, Cursor, and whatever we're testing next. If you've already seen what responsible AI use does to a team's output, know where it goes wrong, and always want to find out which tool does the job best, you'll fit right in here. Who Are We? Wesley Financial Group helps timeshare owners get out of their timeshares. We're a 2020 INC 500 company with offices in Franklin, Tennessee and Las Vegas, Nevada, and our brand is built on doing right by our clients. That includes protecting their data, which our industry gives us every reason to take seriously. What You'll Do Own the platform Set the target-state architecture, data model, and roadmap for Salesforce and for what comes after it Act as design authority for every change, and push back on anything that creates future debt Own the security and sharing model, SSO, and least-privilege access for sensitive client data Manage our vendor relationships, platform upgrades, and AppExchange apps, including DocuSign, Omnito, Goat Email, Distribution Engine, and OwnBackup Lead the migration Help shape and execute a two-year roadmap to move select workloads off Salesforce Decide what stays, what moves, and in what order, and move the data without disrupting a sales floor that depends on it every hour of the day Make the build, buy, or keep call on every AppExchange app and major workload Understand the business Sit with leaders in sales, client resolution, and finance and work through what they actually need. When someone asks for a checkbox, find out what decision it's supposed to drive. Turn those conversations into solutions that ship and get used Lead the team Guide three developers and our implementation partners Set the review standards, test coverage, and Copado deployment controls the team builds within Build hands-on in Flow and Apex, with AI tools like Claude Code doing the heavy lifting where they should Own the integrations Build and own integrations between Salesforce and NetSuite, Five9, the Wesley Client Portal, and whatever comes next Work across n8n, Zapier, REST and Bulk APIs, and direct callouts, and know which one fits the job IMPORTANT: When something breaks, you're already working on the fix. You don't wait for a ticket or a meeting. You jump in, find the cause, fix it, and make sure it doesn't happen again. This isn't a 9-to-5. It's owning a platform and having fun doing it with smart people who care about their work, support each other, and believe in what Wesley does for its clients. Who You Are You've owned a production Salesforce org, with real depth in Flow, Apex, and SOQL and good judgment about when declarative beats code You've led or played a major part in a platform migration, and you know what goes wrong when the data moves You use AI tools every day, you've seen them multiply a team's output, and you catch what they get wrong before it reaches production You're curious beyond Salesforce. Maybe you've spun up Twenty or another open-source CRM on a weekend just to see how it works. You've paid down technical debt without breaking production You have good instincts about sensitive client data, especially in AI workflows You live in Middle Tennessee (or are moving here) and can be on-site in Franklin regularly Don't apply just because you have Salesforce certifications. Don't apply if your pitch is years of doing things the way they've been done for the past decade. Don't apply if you want to coast. Do apply if you want to be challenged. Do apply if you want a fast-paced, exciting place to work. Do apply if you live near Middle Tennessee and can be on-site regularly. Do apply if you know there's a better way to do development. Do apply if you know you can help us pull off an ambitious migration. Compensation and Details Compensation: Competitive base salary Benefits: 401k with a generous company match, medical, dental, and vision insurance, and generous PTO that starts accruing on day one Schedule: Full-Time Exempt Reports To: Director of Development Department: IT Location: Franklin, TN (on-site). U.S.-based candidates only; we can't sponsor visas. Wesley is an Equal Opportunity Employer. We verify employment eligibility for all new hires using E-Verify. PIaf-0822
11/13/2026
Full time
Job Description Job Description The Role Job Title: Salesforce Architect Own the Platform, Lead the Migration Franklin, TN IMPORTANT: This role is about owning a platform, not maintaining one. If you want a role where you close tickets, add fields, and log off at 5, stop reading here. Wesley runs on Salesforce today. About 350 people in sales and client resolution work in it all day. Over the next two years, we're moving some of those workloads onto platforms we build and own. We're looking for the person who will lead that work. You'll own the platform, guide a team of three developers and our outside partners, and sit with the people who use what you build until you understand their problem better than they do. Then you'll build the right thing, whether that's in Salesforce or somewhere else. You'll report to our Director of Development, who ran this org for eight years before moving into that role. You'll get a real handoff from someone who helped build it and knows where every workaround lives. We build with AI every day, using Claude Code, Codex, Cursor, and whatever we're testing next. If you've already seen what responsible AI use does to a team's output, know where it goes wrong, and always want to find out which tool does the job best, you'll fit right in here. Who Are We? Wesley Financial Group helps timeshare owners get out of their timeshares. We're a 2020 INC 500 company with offices in Franklin, Tennessee and Las Vegas, Nevada, and our brand is built on doing right by our clients. That includes protecting their data, which our industry gives us every reason to take seriously. What You'll Do Own the platform Set the target-state architecture, data model, and roadmap for Salesforce and for what comes after it Act as design authority for every change, and push back on anything that creates future debt Own the security and sharing model, SSO, and least-privilege access for sensitive client data Manage our vendor relationships, platform upgrades, and AppExchange apps, including DocuSign, Omnito, Goat Email, Distribution Engine, and OwnBackup Lead the migration Help shape and execute a two-year roadmap to move select workloads off Salesforce Decide what stays, what moves, and in what order, and move the data without disrupting a sales floor that depends on it every hour of the day Make the build, buy, or keep call on every AppExchange app and major workload Understand the business Sit with leaders in sales, client resolution, and finance and work through what they actually need. When someone asks for a checkbox, find out what decision it's supposed to drive. Turn those conversations into solutions that ship and get used Lead the team Guide three developers and our implementation partners Set the review standards, test coverage, and Copado deployment controls the team builds within Build hands-on in Flow and Apex, with AI tools like Claude Code doing the heavy lifting where they should Own the integrations Build and own integrations between Salesforce and NetSuite, Five9, the Wesley Client Portal, and whatever comes next Work across n8n, Zapier, REST and Bulk APIs, and direct callouts, and know which one fits the job IMPORTANT: When something breaks, you're already working on the fix. You don't wait for a ticket or a meeting. You jump in, find the cause, fix it, and make sure it doesn't happen again. This isn't a 9-to-5. It's owning a platform and having fun doing it with smart people who care about their work, support each other, and believe in what Wesley does for its clients. Who You Are You've owned a production Salesforce org, with real depth in Flow, Apex, and SOQL and good judgment about when declarative beats code You've led or played a major part in a platform migration, and you know what goes wrong when the data moves You use AI tools every day, you've seen them multiply a team's output, and you catch what they get wrong before it reaches production You're curious beyond Salesforce. Maybe you've spun up Twenty or another open-source CRM on a weekend just to see how it works. You've paid down technical debt without breaking production You have good instincts about sensitive client data, especially in AI workflows You live in Middle Tennessee (or are moving here) and can be on-site in Franklin regularly Don't apply just because you have Salesforce certifications. Don't apply if your pitch is years of doing things the way they've been done for the past decade. Don't apply if you want to coast. Do apply if you want to be challenged. Do apply if you want a fast-paced, exciting place to work. Do apply if you live near Middle Tennessee and can be on-site regularly. Do apply if you know there's a better way to do development. Do apply if you know you can help us pull off an ambitious migration. Compensation and Details Compensation: Competitive base salary Benefits: 401k with a generous company match, medical, dental, and vision insurance, and generous PTO that starts accruing on day one Schedule: Full-Time Exempt Reports To: Director of Development Department: IT Location: Franklin, TN (on-site). U.S.-based candidates only; we can't sponsor visas. Wesley is an Equal Opportunity Employer. We verify employment eligibility for all new hires using E-Verify. PIaf-0822
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.
