Vista previa de la oferta
Software Engineer III (Java)
senior · Technology / Software Development
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.