About this role
Shape the future of cloud-native platforms — build, run, and evolve the infrastructure that powers products customers love.
Job Description
We're building something different. Born from a bold vision to bring a new kind of banking experience to customers, our team combines the stability and scale of JPMorganChase with the energy and pace of a startup. Here, your ideas matter, your growth is supported, and the work you do has a direct impact on millions of people.
As a Software Engineer III at JPMorganChase within the Accelerator Business Platform team, you are at the heart of how we build and scale our products. You'll work alongside experienced engineers to design, build, and operate the cloud-native platform infrastructure that enables our product teams to move fast and safely. This is a role for someone who is curious, collaborative, and eager to grow — someone who wants to develop deep platform engineering expertise while contributing to a team that genuinely values diversity of thought and experience.
Job responsibilities
- Develop secure, high-quality production code and participate in code reviews, with guidance and mentorship from senior engineers
- Contribute to the design and development of composable infrastructure systems and capabilities that support developer productivity
- Build, operate, and maintain Kubernetes-based platform services, developer self-service tooling, and CI/CD workflows
- Identify and automate remediation of recurring operational issues to improve platform stability and reliability
- Provide operational support for production systems in a "you-build-it-you-run-it" culture, including active participation in incident response
- Apply platform security and controls practices through infrastructure as code, policy-as-code, and hardening standardsContinuously expand your knowledge of cloud-native technologies and emerging platform engineering practices
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience
- Hands-on experience with software development, testing, and troubleshooting in a professional or project-based environment
- Proficiency, or a strong working foundation, in one or more programming languages such as Go, Java, or Kotlin
- Working understanding of agile methodologies, CI/CD pipelines, and secure development practices
- Foundational understanding of cloud and container technologies, including core Kubernetes concepts
- Demonstrated eagerness to learn and grow within cloud-native platform engineering on a major cloud provider such as Google Cloud, Amazon Web Services, or Microsoft Azure
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Preferred qualifications, capabilities, and skills
- Exposure to Kubernetes, containerization, and related cloud-native tooling
- Familiarity with infrastructure as code using Crossplane, Terraform, or equivalent frameworks
- Awareness of, or hands-on interest in, GitOps workflows and the Kubernetes operator pattern
- Experience contributing to developer platform or internal tooling initiatives
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