Python Technical Delivery Lead — Cloud Data Platforms

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and advanced applied experience in Python
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment, 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
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience

Responsibilities:

• Provide technical guidance and direction to support our business and technical teams, contractors, and vendors
• Develop secure and high-quality production code, and review and debug code written by others
• Drive adoption and governance of approved AI-assisted engineering practices across our teams to improve code quality, delivery speed, and operational outcomes
• Establish an enterprise-aligned operating model for AI-assisted engineering across our teams, including approved use cases, guardrails, RACI, and auditability
• Define and enforce measurable validation standards for AI-assisted changes and embed them into CI/CD quality gates
• Apply 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
• Set the enterprise toolchain strategy and target-state architecture across planning, source control, build, test, security, deployment, and observability
• Establish automation-at-scale governance through golden pipelines, shared libraries, templates, reference implementations, and platform guardrails
• Drive decisions that influence product design, application functionality, and technical operations and processes
• Serve as a function-wide subject matter expert in one or more areas of focus
• Contribute to our engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Technologies:

• AI
• CI/CD
• Cloud
• Support
• Marketing
• Python
• Security
• DevOps

More:

We are JPMorganChase, a global leader in financial services. Our Credit data pond team sits within Wholesale credit risk technology and works as part of an agile team focused on enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable way. We offer the opportunity to drive significant business impact through deep technical expertise and problem-solving across multiple technologies and applications. We value diversity and inclusion, and we are committed to equal opportunity, reasonable accommodations, and building trusted, long-term partnerships with our clients. This is a full-time role in our Corporate Functions organization, covering areas from finance and risk to human resources and marketing.

last updated 36 week of 2026