Software Engineer II - Full-stack

JPMorgan Chase JPMorgan Chase · Banking · Hyderabad, Telangana, India · Corporate Sector

Software Engineer II (Full-stack) on the Infrastructure Platforms team at JPMorgan Chase, responsible for architecting, building, and optimizing software systems that support core internal services and tools. The role involves designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners, and contributing to technical direction and engineering standards. A key aspect is leveraging enterprise-authorized AI coding assist tools and understanding responsible AI use in engineering workflows.

What you'd actually do

  1. Design, develop, and deploy scalable full-stack platform tools for infrastructure teams.
  2. 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.
  3. 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
  4. Enhance reliability and performance of critical internal systems through engineering best practices.
  5. Collaborate with engineering and operations groups to understand requirements and deliver solutions.

Skills

Required

  • software engineering concepts
  • full-stack applications
  • JavaScript/TypeScript
  • Python
  • Java
  • Go
  • microservices
  • web applications
  • enterprise-authorized AI-assisted software development tools
  • database systems (SQL and NoSQL)
  • RESTful APIs
  • cloud infrastructure concepts
  • CI/CD pipelines
  • DevOps practices
  • automated testing methodologies
  • cross-functional collaboration

Nice to have

  • Kubernetes
  • Docker
  • observability
  • monitoring
  • logging solutions
  • security compliance
  • distributed infrastructure design
  • open source contributions
  • developer communities

What the JD emphasized

  • enterprise-authorized AI coding assist tools
  • critically evaluate and validate AI-generated output
  • responsible AI use