at J.P. Morgan
Bulge Bracket Investment BanksPosted 14 days ago
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**Senior Lead Software Engineer - Full Stack / AWS** In this senior role at JPMorganChase, you'll lead an agile team, pushing technology boundaries to deliver secure, scalable products. You'll drive tech decisions, influencing product design and functionality, while mentoring juniors. Key responsibilities include: - Providing technical guidance and code reviews to ensure high-quality production code. - Driving AI-assisted engineering practices adoption to enhance code quality and delivery speed. - Serving as a subject matter expert, applying advanced skills in one or more programming languages like Python, Java, or React. - Leveraging AWS cloud native experience to manage application functionality and technical operations. Required qualifications: - Proven software engineering expertise (5+ years) with formal training or certification. - Hands-on experience in system design, application development, and testing. - Experience leading the effective use of AI-assisted software development tools. - Strong understanding of responsible AI usage, secure handling of data, and compliance. You'll tackle complex challenges across Markets Risk, Finance, Treasury, and Controls, driving significant business impact.
- Compensation
- Not specified
- City
- Houston
- Country
- United States
Currency: Not specified
Full Job Description
Location: Houston, TX, United States
As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Banking - Markets Tech - Trading / MAC Risk Central 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- 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.
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Adds to team culture of diversity, opportunity, inclusion, and respect
- 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) (e.g., Python, Java, React, Big Data Platforms, etc.)
- 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.
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience (e.g., AWS)
