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Sr. Lead Software Engineer - Java, Automation, AWS
senior · Technology / Software Development
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.