Senior Lead Software Engineer - Java, Automation, AWS

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 the Consumer & Community Bank - Consumer Card 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.

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
• Develops & executes on technical strategy to drive value for Chase credit card strategic partners
• Encourages leadership, design thinking and an API-first mindset
• Partners and collaborates with cross functional teams across product, engineering & architecture to develop smart, scalable solutions for partners and customers. Champions the firm’s culture of opportunity, inclusion, and respect
• Takes ownership of team and problem solves proactively think long-term
• 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.

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 programming skills in Java and Spring Boot
• Proficiency in automation and continuous delivery methods
• Practical cloud native experience
• Hands on experience leading technologists to manage, anticipate and solve complex technical software engineering problems
• Experience with Cloud technologies (AWS, Google Cloud)
• Advanced knowledge of architecture & application design processes
• Strong coding fundamentals – Algorithms & Data Structures
• Experience with building APIs - RESTful APIs, Spring Boot

Preferred qualifications, capabilities, and skills

• Experience building SaaS, PaaS platforms, tools & services for engineers.
• Experience working in a fast-paced Agile environment. Passion for automating & excelling at identifying gaps in processes.
• Demonstrated experience influencing across highly matrixed, complex organizations.
• Ability to deconstruct & communicate complex or abstract technology concepts in a clear way to non-technical stakeholders.