**Lead Software Engineer - Public Cloud Engineering** is sought at JPMorganChase. You'll drive cloud-native infrastructure platforms, enhancing secure, scalable products. Senior-level experience includes leading teams, employing Python, Java, Go, Rust, and enterprise-approved AI-assisted tools. Embrace agile methodologies, CI/CD, application resiliency, and security in financial services systems. Located in LONDON, this role demands practical cloud experience and industry knowledge. Encourage continuous learning and team collaboration.
Full Job Description
Location: LONDON, United Kingdom
As a Lead Software Engineer at JPMorganChase within Public Cloud Engineering 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 firms 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 problemsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives 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 teamApplies 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 automationIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architecturePromotes engineering excellence through knowledge-sharing (e.g., communities of practice), and contributes to a culture of inclusion, respectful collaboration, and continuous improvementRequired qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)Hands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) (e.g., Python, Java, Go, Rust)Demonstrated experience leading effective use of enterprise-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 securityStrong 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 practicesProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityIn-depth knowledge of the financial services industry and their IT systemsPractical cloud native experiencePreferred qualifications, capabilities, and skills
Experience with compliance as code and automated controls testingProficiency with enterprise-authorized AI coding assistants We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 
