Lead Software Engineer AI-Augmented Full Stack Development

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

As a Lead Software Engineer at JPMorganChase within the Securities Services Technology team youare 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Were looking for a Engineer who understands the full developer stack and knows how to automate it. Youll leverage AI coding tools (Claude Code Copilot) to accelerate delivery while maintaining deep knowledge of databases authentication CI/CD pipelines cloud infrastructure and system architecture. This isnt about memorized frameworks - its about understanding how systems work and using AI to build them faster.

Youll design and deliver trusted technology products in a secure stable and scalable way. Youll collaborate with data scientists product managers and business owners to solve real problems making architectural decisions and leveraging AI tools for rapid execution.

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
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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 on software engineering concepts and 5 years applied experience
• Extensive Experience in building production software systems across the full stack
• Deep understanding of system architecture: databases (relational/NoSQL) authentication/authorization API design cloud infrastructure (AWS/Azure) containerization CI/CD pipelines
• Hands-on experience with AI coding tools (Cursor Claude Code Copilot or similar) - you know when they accelerate work and when human judgment is critical
• Proficiency in modern languages and frameworks (we use Javascript Python Java/Spring Boot React but care more about your ability to learn and deliver)
• Experience evaluating and integrating AI/LLM capabilities into applications
• Strong judgment about trade-offs: when to code vs. use low-code/orchestration tools when to optimize vs. ship
• Understanding of agile methodologies application resiliency and security practices
• Ability to communicate technical decisions clearly to both technical and business stakeholders
  
  

• Experience architecting solutions where AI tools handle implementation while you focus on business logic and edge cases
• Track record of rapid prototyping and iteration in ambiguous problem spaces
• Knowledge of orchestration and automation platforms (n8n Zapier or similar)
• Experience building with LLMs as development partners not just API integrations