Lead Software Engineer Java Full Stack Developer
JPMorgan Chase · Posted Oct 9
Global banking, investment, credit card, mortgage, and asset management services
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About the role
JPMorganChase Corporate Technology delivers secure, scalable, and high-performing technology solutions and strategic platforms that support the firm's business objectives. The team works across modern engineering domains including distributed systems, hybrid data ecosystems such as AWS, Databricks and Kubernetes, and AI-enabled applications. This Lead Software Engineer role leads design and delivery on an agile team, building production-grade Java-based full-stack solutions, agentic AI workflows, and automated, resilient platform capabilities.
What you will do
- Lead the design, development, and delivery of innovative software solutions, solving complex problems with creative and forward-thinking approaches
- Build and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineers
- Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments
- Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency
- Develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets
- Design and build AI-enabled applications, including AI Agents and agentic workflows
- Work across hybrid data ecosystems (AWS, Databricks, Kubernetes)
- Ensure code quality through unit testing, integration testing, and continuous validation practices
- Collaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards
Skills used in this role
What the employer is looking for
- Significant experience in software engineering with formal training or equivalent practical expertise
- Strong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React)
- Demonstrated experience in designing scalable, secure, and resilient distributed systems
- Strong understanding of modern architecture patterns (microservices, event-driven, API-first)
- Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code
- Expertise in API design (REST, GraphQL) and integration patterns
- Hands-on experience building applications on AWS or other public cloud platforms
- Experience with Generative AI systems, including:
- RAG (Retrieval-Augmented Generation) architecture
- AI orchestration frameworks (LangChain, LlamaIndex, etc.)
- LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)
Preferred qualifications
- Deep expertise in Java, object-oriented design, and system design
- Experience with ElasticSearch, Oracle, MongoDB, and modern data platforms
- Proven experience building AI-enabled applications and agentic architecture
- Experience developing reusable AI Agent skills/frameworks to accelerate engineering teams.
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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