We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within Global banking space, 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 delivering 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
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• 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
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts with 5+ years of applied experience
• Advanced experience designing and building scalable applications using Java and Spring Boot
• Advanced experience developing modern, responsive user interfaces using React
• Hands-on experience with AWS services (Lambda, EC2, ECS, S3, DynamoDB) and infrastructure as code using Terraform
• 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
• Strong hands-on experience with SQL and NoSQL databases and data-driven application design
• Ability to define technical strategy, drive best practices, and influence engineering teams
• Deep understanding of financial services, regulatory reporting, and enterprise IT systems
• Strong foundation across modern technical domains (e.g., AWS, AI/ML)

Preferred Qualifications, Capabilities, and Skills

• Modern front-end experience (JavaScript, Angular, or similar)
• AWS experience: SQS, SNS, EventBridge, Step Functions, CloudWatch, Python proficiency for scripting and data processing
• Experience using GitHub Copilot
• Commercial experience in data, AWS, and AI/ML engineering (preferably financial services)
• Experience with recommendation systems, LLM applications, or other AI/ML systems

• Exposure to LLMs, RAG, Knowledge Graphs, OpenSearch, and vector databases