Join us to shape innovative technology products and advance your career in a dynamic environment. Experience the impact and growth opportunities of leading a high-performing team.

As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office team, you deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for critical solutions across multiple technical areas supporting business objectives. You work collaboratively to enhance and build products, contributing to a culture of opportunity and growth. We value your technical leadership and commitment to excellence.

Job responsibilities

Execute creative software solutions, design, development, and technical troubleshooting
Deliver end-to-end solutions using cloud-native, microservices-based applications
Use domain modeling techniques to build business products
Develop secure, high-quality production code and review code written by others
Identify opportunities to eliminate or automate remediation of recurring issues
Lead communities of practice across Software Engineering and promptly investigate and resolve issues
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Continuously update technologies and patterns
Design and build solutions that avoid single points of failure
Design and build scalable, secure, and reliable solutions using modern architectural patterns

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 10+ years applied experience
Proficiency with modern front-end stacks: JavaScript or Typescript, using React or frameworks
Ability to independently solve design and functionality challenges with minimal supervision
Understanding of modern design patterns used in JavaScript
Knowledge and experience working with HTML5, CSS, and pre-compilers like Sass and LESS
Experience with agile development methodologies and understanding of the software development life cycle
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations experience coaching senior engineers/leads on compliant usage patterns and controls.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities and skills

Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management
Strong problem-solving, analytical, and communication skills
Ability to drive broader impact by sharing and contributing best practices

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