Lead Software Engineer - Java/Python/AWS/Data

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, you will be part of an agile team that builds and delivers trusted technology products in a secure, stable, and scalable way. You will take ownership of technical deliverables, contribute to design decisions, and work across cloud, data, and machine learning domains to solve real business problems.

Job Responsibilities:

• Design, build, and maintain platform components that support end-to-end ML model lifecycle — from development and training to deployment and monitoring
• 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
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Build and manage cloud-based infrastructure on AWS (including Databricks, EMR, ECS, and S3) to support model training and serving workloads
• Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain
• Support Platform team in developing/building automated solutions 
• Monitor platform health and model serving infrastructure; identify and resolve performance and stability issues
• Apply AI-assisted development tools and best practices to improve code quality and delivery speed
• Contribute to a team culture of diversity, inclusion, and continuous improvement

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s); Python or Java
• 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
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Experience in Agentic AI, MCP development & cloud native

• Java/Python/AWS) having data engineering skillset is a plus