Lead Software Engineer - AIML Data Platform (Data, Python, Containers/Kubernetes)

JPMorgan Chase & Co.; Greater London; On-site; GBP 100,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer within the AMDP (AIML Data Platforms) group to advance trusted, scalable technology across business functions.

You will design, implement, and review secure software solutions while guiding a team toward best practices in AI-assisted engineering. The role emphasizes collaboration with product managers, data strategists, and external partners, with a focus on high-quality code, operational stability, and continuous learning in a fast-paced

Qualifications

• Hands-on experience delivering system design, development, testing, and operations.
• Advanced Python development in containerized environments.
• Experience leading the use of approved AI-assisted coding and testing tools.
• Strong understanding of responsible AI use, data sensitivity, security, and resiliency.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Works with product managers and data strategy teams on AI for Data.
• Develops secure, high-quality production code and reviews others' code.
• Drives enterprise AI engineering practices to improve quality, speed, and stability.
• Applies SDLC tools and AI-assisted automation to boost value and reuse.
• Identifies and automates recurring issues to improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Mentors junior engineers in the team.

Skills

Python development

Containerization

AI-assisted tooling

Security best practices

SDLC proficiency

CI/CD

Cloud native

Mentoring

Tools

Docker

CI/CD tooling

AI-assisted dev tools

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within AMDP (AIML Data Platforms), 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Works closely with product managers and data strategy professionals to advance the firm’s agenda in AI for Data
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Mentors more junior engineers in the team

Required qualifications, capabilities, and skills

• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced Python Architecture and Development skills. Must also be familiar with developing solutions in a containerized environment
• Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Any background in graph databases (especially RDF stores like AWS Neptune)
• Working familiarity with Gen AI Engineering tools/frameworks - capable of designing / building pipelines