
Software Engineer III - Java Full Stack Developer + Python + AWS
JPMorgan Chase · Posted Oct 14
Global banking, investment, credit card, mortgage, and asset management services
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About the role
JPMorgan Chase's Commercial & Investment Bank is an agile technology organization that designs and delivers trusted, market-leading technology products in a secure, stable, and scalable way across multiple business functions. The team works with cloud-native AWS platforms, Java/Spring Boot and React full-stack applications, Python, and generative AI tooling. This role designs, develops, and maintains scalable applications, implements cloud-native AWS solutions, and applies LLM prompt engineering and AI-assisted development tools to improve code quality and delivery.
What you will do
- Design, develop, and maintain scalable and robust applications using Java, Spring Boot and React.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Implement cloud-native solutions on AWS, ensuring high availability, scalability, security and Engage in prompt engineering for LLMs and write Python scripts.
- Utilize AI tech tools such as GitHub Copilot and MCP servers to enhance productivity and code quality.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Participate in code reviews, providing constructive feedback to peers.
- Troubleshoot and resolve complex technical issues across the application stack.
- Stay up-to-date with emerging technologies and industry trends, and apply them to improve existing systems and processes.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- 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.
Skills used in this role
What the employer is looking for
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proven experience in software development using Core Java, REST, Spring Boot, Spring modules, Hibernate, Junit and Mockito.
- Experience in UI technologies like jQuery, HTML, React and Strong skills around design principles and design patterns with the ability to troubleshoot and debug an application for any application issues.
- Strong understanding of cloud platforms - AWS and experience deploying applications in a cloud environment.
- Experience with CI/CD pipelines, containerization (Docker, Kubernetes), version control systems (Git) and messaging and integration frameworks like Kafka.
- Experience in writing SQL queries, database management concepts, JDBC, and persistence API frameworks like Spring JPA.
- Experience in AI/ML with focus on Generative AI, AI Agents Framework like Lang chain and Lang graph, Python, LLMs, RAG, Prompt engineering.
- Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.
- Strong communication skills, both written and verbal, with the ability to articulate complex technical concepts to non-technical stakeholders and Ability to multi-task and also work independently in order to meet the committed deadlines and Knowledge in Spec Driven development architecture.
- 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.
Preferred qualifications
- Platform engineering experience
- Good knowledge in Syndicated deals
- Experience in the financial services industry or a similar regulated environment.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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