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
Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
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 and support capacity unlock initiatives.
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
Required Qualifications, Capabilities, and Skills
10+ years of hands-on 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
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About JPMorgan Chase
Banking323028 employees
Global financial services and investment banking firm.