As a Software Engineer III in Asset & Wealth Management – Data & Analytics at JPMorgan Chase, you will help build the instrument reference data platform that many teams rely on. You will write Java services that collect, enrich and share this data. We are now opening the platform to users in the US, EMEA and APAC, and building AI and automation tools for our engineers. If you enjoy hard problems in a growing cloud environment and want to shape what comes next, join us.
Job Responsibilities
- Design and deliver core Java and Spring Boot services and APIs (REST and GraphQL), and the event (Kafka, MQ), streaming and bulk paths that distribute instrument data to consumers, owning each service from design through production stability
- Tackle complex technical problems and think beyond conventional approaches to build scalable, resilient solutions
- Find root causes of data and production issues by tracing instrument data across ingestion, enrichment, storage and downstream distribution, and fix the causes, not the symptom
- Develop, debug and maintain production code, business rules (Drools) and database changes in a large enterprise environment
- Uphold engineering excellence through thorough code reviews, automated and BDD testing, quality gates, and timely framework and security-vulnerability upgrades
- Produce architecture and design artifacts for complex applications and make sure design constraints are met in code
- Mentor engineers and contribute reusable patterns and tooling back to the group
- Build and improve automation and AI-based tooling that raises engineering leverage across the team
- Use enterprise-authorized AI coding-assist tools (code generation and refactoring, test creation, documentation) to improve quality, speed and productivity, validating outputs through peer review, automated testing and secure coding standards
- Work with engineering and product teams to deliver platform capabilities that support global investment operations at scale
Required qualifications, capabilities, and skill
- Formal training or certification in software engineering concepts and advanced applied experience
- Strong hands-on experience with Java and Spring Boot (Java 17 or later), designing, developing, testing, debugging and maintaining production services in a large enterprise environment
- Experience distributing and consuming data using event and Kafka streaming, APIs (GraphQL and REST) and bulk methods and experience with relational (SQL) databases and at least one NoSQL store
- Hands-on experience in system design, application development, testing and operational stability, including production support