Description
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.