Senior Lead Software Engineer - Python / NoSQL

JPMorganChase • Houston, TX

1d

About The Position

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology - Risk Technology team, you will be an integral part of an agile team that builds and enhances trusted, market-leading technology products in a secure, stable, and scalable way. You will drive significant business impact by applying deep technical expertise and problem-solving skills to challenges across multiple technologies and applications.

The role provides technical leadership and direction, contributes to system design and production code, and influences product design, application functionality, and technical operations. It also promotes approved AI-assisted engineering practices, with validation standards for security, correctness, performance, testing, and operational readiness, and supports reuse of proven patterns and automation across the software development lifecycle.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages or technologies listed: Python, Pandas, No relation database, data bricks, and Cloud.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, such as for coding, code review, test acceleration, or troubleshooting.
• Ability to establish team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
• Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
• Ability to address design and functionality problems independently with little to no oversight.
• Deep technical expertise, strong leadership, and architecture and design experience.
• Practical cloud-native experience.

Responsibilities

• Provide technical guidance and direction to support the business, technical teams, contractors, and vendors.
• Develop secure, high-quality production code, and review and debug code written by others.
• Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Establish measurable validation standards for AI-assisted work, including secure coding, peer review, and automated testing.
• Promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Use software development lifecycle tools, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drive decisions that influence product design, application functionality, technical operations, and processes.
• Serve as a function-wide subject matter expert in one or more areas of focus.
• Contribute to the engineering community as an advocate for firmwide software development lifecycle frameworks, tools, and practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed