Software Engineer II Full Stack Engineer

Youre ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.

As a Software Engineer II Full Stack Engineer at JPMorgan Chase within the Commercial & Investment Bank 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 will also be a hands-on engineer on an Agile team building and operating Spring Boot microservices running on AWS (ECS Fargate or EKS) with Oracle and PostgreSQL (RDS) and a modern web UI built with React. You will design develop test deploy and support services in a secure resilient and observable production environment. 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

• Execute standard software solutions design development and technical troubleshooting
• Design build and maintain full-stack features across UI and backend services (React or Java 17 / Spring Boot).
• Develop and operate microservices including API design service decomposition and reliability patterns (timeouts retries idempotency DLQs).
• Build integrations using AWS services such as API Gateway SQS SNS S3 and RDS; troubleshoot production issues across services and infrastructure.
• Produce clear design/architecture artifacts (service boundaries data flows sequence diagrams ADRs) and ensure implementation aligns with design constraints.
• Designs develops codes and troubleshoots with consideration of upstream and downstream systems and technical implications
• Leverage 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.
• Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Add to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 2 years applied experience
• Proficiency with React (TypeScript component architecture state management performance fundamentals).
• Experience with Java 17 and Spring Boot including Spring Data JPA / Hibernate (entity modeling transactions performance considerations like N1 pagination).
• Hands-on deployment/operations with AWS ECS Fargate or Kubernetes/EKS and container skills with Docker (image builds runtime config troubleshooting).
• Practical experience with API Gateway SQS SNS S3 and relational databases on RDS.
• Proven experience with Oracle and PostgreSQL (schema design indexing query tuning migrations).
• Experience with CI/CD automated testing (unit/integration) observability (logs/metrics/traces) and application security (authn/authz basics secrets handling dependency scanning).
• 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.
• Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations.
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)

Preferred qualifications capabilities and skills

• Experience with event-driven architectures and message processing patterns (idempotency DLQ handling backoff/retry strategies)
• Infrastructure-as-Code exposure (e.g. Terraform/CloudFormation/CDK) and production operations experience (incident response on-call postmortems)
• API design maturity (OpenAPI/Swagger backward compatibility/versioning contract testing)
• Performance tuning experience across UI JVM and database layers
• Strong grounding in OOP design patterns and microservices best practices