Software Engineer III-Full Stack

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Employee Platform Business you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Leads end-to-end delivery of full stack solutions using React Java Spring Boot GraphQL/REST and AWS-managed services from design through production support.
• Drives architecture and design reviews defining service boundaries API contracts data models and integration patterns.
• Develops secure high-quality production-grade code; conducts thorough code reviews; sets and enforces engineering standards.
• Builds and maintains highly available and scalable services with strong operational excellence: reliability performance cost awareness and maintainability.
• Implements and governs authentication/authorization using OIDC/OAuth2 token validation scopes/claims and service-to-service security patterns.
• Establishes robust observability practices (structured logging metrics tracing) incident response readiness (runbooks).
• Evaluates vendor and internal solutions (including architectural fit security posture scalability and operability) and guides adoption decisions.
• Partners with Product and UX to deliver outcomes; translates requirements into technical plans and milestones; proactively manages trade-offs.

• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality delivery speed and productivity across complex deliverables (e.g. code generation/refactoring unit test creation documentation) while validating outputs through peer review automated testing and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

• 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

• • Minimum 4 years of full-stack engineering experience delivering and operating production systems with senior/lead exposure (technical leadership design ownership).
  • Strong React expertise (modern patterns TypeScript state management component design systems performance optimization responsive UI).
  • Java Spring Boot expertise (API development dependency injection validation error handling performance tuning).
  • GraphQL proficiency (schema design resolvers federation/composition query performance caching governance/versioning).
  • REST proficiency (OpenAPI contract design pagination/filtering idempotency backward compatibility consumer-driven evolution).
  • OIDC/OAuth2 implementation (JWTs token flows scopes/claims secure sessions least-privilege access control).
  • Hands-on AWS experience (cloud-native design/deployment IAM networking basics logs/metrics/alarms).
  • Data and event-driven expertise: Aurora PostgreSQL (advanced SQL indexing optimization migrations transactions) Neptune (graph modeling Gremlin performance) and Kafka/MSK (topics partitions consumer groups schema evolution ordering idempotency retries/DLQs monitoring).
  • CI/CD quality and AI-assisted engineering (Git best practices automated testing quality gates release practices; MUST: proficiency with Claude Code/GitHub Copilot ensuring correctness security and maintainability).

  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding test creation troubleshooting or documentation) with demonstrated ability to critically evaluate validate and refine AI-generated outputs for correctness performance and security.

  • Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

  Preferred qualifications capabilities and skills

  • Infrastructure as Code (Terraform/CloudFormation/CDK) and deployment automation patterns.
  • Containerization and orchestration experience (Docker ECS/EKS) depending on platform direction.
  • Advanced security practices: threat modeling OWASP Top 10 mitigation secrets management dependency hygiene.
  • Experience defining platform standards: API governance event contracts service templates and reliability SLOs/SLIs.
  • Prior experience integrating with Oracle HCM.