Software Engineer III (Java)

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

As a Senior Software Engineer at JPMorganChase within the Connected Commerce, Travel division, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Designs and implements complex features and services within owned domains; collaborates with upstream/downstream teams to deliver end-to-end solutions; contributes to API contracts, versioning, and backward compatibility.

• Contributes to production readiness and operational excellence by helping define/meet SLOs/SLIs, improving observability (logs, metrics, traces), participating in incident response and post-incident reviews, and delivering durable fixes and runbooks to reduce repeat issues.

• Applies secure-by-default and resilient design patterns in day-to-day development (timeouts, retries with exponential backoff/jitter, circuit breakers, bulkheads, idempotency, graceful degradation).

• Authors design proposals and participates in design reviews; partners with Architecture and peer teams to align designs and reduce integration risk.

• Writes secure, concise, high-quality production code and reviews/debugs code across backend and frontend as needed.

• Engages in pair programming, rigorous code reviews, and reliable estimation; builds user-facing experiences that meet established performance and accessibility standards.

• Applies database rigor across SQL/NoSQL: schema design, indexing, query tuning, and caching to improve latency and throughput.

• Integrates firm-approved, privacy-safe AI assistants into development workflows to accelerate test generation, documentation, refactoring, and static analysis triage—with human-in-the-loop review and CI quality gates.

• Follows established AI governance and guardrails (prompt hygiene, secrets/PII protection, provenance expectations, objective acceptance criteria such as lint/coverage/SAST/DAST/performance checks) and provides feedback to improve standards.

• Contributes to measurement of AI-assisted workflows (e.g., cycle time, defect trends) without compromising security or reliability.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience delivering production systems in a team environment, including ownership of major features/components and end-to-end delivery within a squad.

• B.S. in Computer Science/Engineering or related field (or equivalent practical experience).

• Proficiency in Java and Spring Boot development, SQL, and event-driven/messaging systems such as SNS, SQS, and Kafka.

• Hands-on experience with AWS and cloud-native services (e.g., ECS/EKS/Lambda, API Gateway, RDS/DynamoDB/CassandraDB, S3, CloudWatch, IAM).

• Proficiency in JavaScript, HTML5, and CSS3 with the ability to contribute to, debug, and review user-facing code when needed.

• Hands-on experience in system design, RESTful JSON API design, microservices, application development, testing strategy, and operational stability within large, distributed environments.

• Hands-on experience across the SDLC, including CI/CD pipelines and automated testing practices.

• Strong understanding of security and resiliency, including OWASP Top 10, OAuth2/OIDC, secrets management, encryption in transit/at rest, and resilient integration patterns (timeouts, retries, circuit breakers, bulkheads).

• Ability to author and present design proposals, participate effectively in design reviews, and influence technical decisions through data and collaboration.

• Demonstrated ability to provide strong code reviews, support pairing/mentoring, and raise engineering quality across the team.

• AI-assisted development: operational experience using approved AI assistants within development workflows with human review and CI quality gates, following established governance and objective acceptance criteria.

Preferred qualifications, capabilities, and skills

• Experience in .NET/C#.

• Experience in TypeScript and React.

• Travel or hospitality domain experience, especially with booking flows, inventory consistency, and resilient integrations.

• Experience contributing to evaluation practices for AI-assisted development or AI features (offline metrics, canarying, telemetry, drift detection), in partnership with senior engineers/architecture.

• Familiarity with frontend performance and accessibility best practices, including diagnosing and fixing common issues.