Software Engineer III - Backend/Java/Cloud
Summary
Builds secure, scalable backend services in Java/Spring Boot, leveraging Kafka, REST APIs, and cloud infrastructure to support JPMorgan’s financial products while integrating AI-assisted development tools.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Software Engineer III at JPMorganChase within the Consumer & Community Banking organization, 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
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
Required qualifications, capabilities, and skills
- Minimum 3 years of Java experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- 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 for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Hands-on experience with Spring boot
- Proficiency in REST API
- Proficient in Kafka
- Advanced understanding of multi-region deployments
- Demonstrated proficiency in Artificial Intelligence(e.g., Co-Pilot, LLM)
- In-depth knowledge of the financial services industry and their IT systems
- Cloud infostructure experience
- Event-driven architecture experience
- AWS experience
- Terraform experience
- Experience working with Blue-Green/Canary deployments
- Experience working with observability tools (e.g., Grafana, Prometheus)
- Experience with Cassandra
- Experience with performance optimization and trouble shooting