Lead Software Engineer - Backend Python/Java

JPMorgan Chase & Co.; Lower Blandford St Mary; Presencial; GBP 120 000 - 160 000; Tempo integral

Resumo da oferta

JPMorgan Chase & Co. in the United Kingdom seeks a Lead Software Engineer within Infrastructure Platforms to drive secure, scalable technology across multiple business functions and platforms, shaping the engineering culture and ensuring alignment with the firm’s risk and resilience requirements.

As a core technical contributor, you will design, develop, and deliver high‑quality production code, lead AI‑assisted engineering practices, mentor engineers, and collaborate with vendors and internal

Qualificações

• Formal training or certification in software engineering concepts.
• Hands-on experience in system design, development, testing, and operational stability.
• Proficiency in at least one programming language.
• Experience leading AI-assisted development tools and establishing validation standards.
• Strong understanding of responsible AI usage, data sensitivity, and security.
• Full SDLC proficiency.
• Advanced knowledge of agile practices including CI/CD, resiliency, and security.
• Deep knowledge of the financial services IT landscape.
• Practical cloud-native experience.

Responsabilidades

• Executes creative software solutions, design, development, and 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 to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of patterns.

Conhecimentos

Programming languages

AI‑assisted development tools

Responsible AI practices

SDLC knowledge

Agile & CI/CD

Financial services domain

Cloud native

Technical leadership

Descrição da oferta de emprego

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 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 one or more programming language(s)
• 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