Lead Python Engineer for Cloud Data Platforms & AI Governance

JPMorganChase; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorganChase in the United Kingdom is seeking a Senior Lead Software Engineer to join the Credit data pond team within Wholesale credit risk technology. You will work in an agile environment to enhance, build, and deliver trusted market-leading technology products in a secure, scalable way.

You will drive significant business impact through deep technical expertise, set AI-assisted engineering standards, and lead cross-team initiatives across planning, source control, build, test, security,

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience in Python.
• Advanced in one or more programming language(s).
• Establishes a scalable operating model for enterprise-authorized AI-assisted development and drives consistent adoption across multiple teams.

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.
• Establishes an enterprise-aligned operating model for AI-assisted engineering across teams (approved use cases, guardrails, RACI, auditability), ensuring consistent adoption that improves throughput and quality without increasing risk.
• Defines and enforces measurable validation standards for AI-assisted changes (mandatory peer review, secure coding controls, automated test thresholds, performance/regression checks, release readiness criteria) and embeds them into CI/CD quality gates.
• 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.
• Sets the enterprise toolchain strategy and target-state architecture across planning, source control, build, test, security, deployment, and observability—driving standardization and reducing fragmentation across teams.
• Establishes "automation-at-scale" governance (golden pipelines, shared libraries/templates, reference implementations, and platform guardrails) to accelerate delivery while maintaining resiliency and security expectations.
• 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

Skills

Python

Job description

JPMorganChase in the United Kingdom is seeking a Senior Lead Software Engineer to join the Credit data pond team within Wholesale credit risk technology. You will work in an agile environment to enhance, build, and deliver trusted market-leading technology products in a secure, scalable way.

You will drive significant business impact through deep technical expertise, set AI-assisted engineering standards, and lead cross-team initiatives across planning, source control, build, test, security,