Lead Software Engineer-Python

JPMorgan Chase & Co.; Bournemouth; On-site; GBP 90,000 - 125,000; Full time

Job summary

JPMorgan Chase & Co. in Bournemouth, UK is seeking a Lead Software Engineer within Infrastructure Platforms. You will be a core technical contributor delivering trusted, scalable technology across multiple business functions and driving AI-assisted engineering practices.

You will lead design, development, testing, and operational stability with emphasis on secure coding, reviews, and automation. The role requires strong Python, cloud-native experience, and deep SDLC and agile know-how.

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience.
• Hands-on experience delivering system design, application development, testing and operational stability.
• Advanced knowledge of Python programming language.
• Experience leading the use of AI-assisted software development tools with validation practices.
• Understanding of responsible AI use, security, and resiliency in engineering workflows.
• Proficiency across all phases of the Software Development Life Cycle.
• Deep familiarity with agile methodologies including CI/CD and security.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure, high-quality production code and reviews peer code.
• Drives AI-assisted engineering practices to improve code quality, speed, and ops.
• Applies SDLC tools and AI-assisted automation to improve value and automation.
• Identifies and automates recurring issues to improve stability.
• Leads evaluation sessions with vendors and teams on architecture and applicability.

Skills

Advanced Python

AI-assisted tooling

CI/CD & DevOps

Cloud-native

SDLC knowledge

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 the Infrastructure 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
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Python programming language
• 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
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience