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 JPMorgan Chase within the Securities Services Technology team, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

We're looking for a Engineer who understands the full developer stack and knows how to automate it. You'll 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 isn't about memorized frameworks - it's about understanding how systems work and using AI to build them faster.

You'll design and deliver trusted technology products in a secure, stable, and scalable way. You'll 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 Next.js, 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

Preferred qualifications, capabilities, and skills

• 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