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

Next Frontier Capital; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer within the AMDP (AIML Data Platforms) to lead design, development, and execution of scalable, secure software solutions across multiple business functions. You will mentor junior engineers and set standards for AI-enabled development, testing, and secure coding practices.

You will collaborate with product managers and data strategy professionals to advance AI for Data initiatives, ensure production readiness, and uphold operational stability in a

Qualifications

• Hands-on experience delivering system design, development, testing, and operations.
• Advanced Python architecture and development skills; containerized environments.

Responsibilities

• Executes creative software solutions with design, development, and debugging.
• Collaborates with product managers and data strategy teams to advance AI for Data.
• Develops secure, high-quality production code and reviews others' work.
• Drives enterprise AI-assisted engineering practices to improve quality, speed, and reliability.

Skills

Python

CI/CD

Cloud-native

AI-assisted tooling

Secure coding

SDLC

Agile methodologies

Mentoring

Tools

Docker

Kubernetes

Gen AI tools/frameworks

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

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Lead Software Engineer within the AI/ML Data Platforms group