Lead Software Engineer - Java Backend

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

As a Lead Software Engineer at JPMorgan Chase within Connected Commerce, you will play a vital role in an agile team dedicated to enhancing, building, and delivering market-leading technology products that are secure, stable, and scalable. As a key technical contributor, you will be tasked with implementing critical technology solutions across diverse technical domains, supporting various business functions to achieve the firms 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
• 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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) (Java/Python/.Net)
• Proficiency in automation and CI/CD methods and tools (Jenkins/Spinnaker)
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience (AWS, Azure)

Preferred qualifications, capabilities, and skills

• Experience with various testing methodologies (TDD, BDD, Unit, Contract, Component, Performance, Resilience Testing)
• Experience with various testing tools and frameworks (Junit, Pact/Pactflow, Cucumber, Karate, JMeter/Blazemeter, Gremlin, Mockito, Wiremock, Hoverfly)
• Experience using AI assistants (Copilot, Windsurf, Cursor)
• Experience working with Large Language Models (using, building, training)