Lead Software Engineer - Test Integration & Implementation

J.P. Morgan Chase & Co.; Scotland; On-site; GBP 90,000 - 120,000; Full time

Job summary

JPMorganChase in the United Kingdom seeks a Lead Software Engineer to join the Test Integration & Implementation within Commercial & Investment bank payments technology team. You will be a core technical contributor, driving secure, scalable solutions, leading AI-assisted practices, and guiding design reviews across multiple business functions to support the firm’s objectives.

The role is embedded in an agile team delivering market-leading technology with emphasis on reliability and

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience in system design, application development, testing, and operational stability.
• Proficiency in Python or Java.
• Experience using AI-assisted development tools for coding, review, and test acceleration.
• Knowledge of responsible AI use in engineering workflows including security considerations.

Responsibilities

• Executes creative software solutions and technical troubleshooting beyond routine approaches.
• Develops secure production code and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve quality, speed, and reliability.
• Applies SDLC toolchain knowledge to improve automation value.
• Identifies opportunities to automate remediation and improve operational stability.
• Leads evaluation sessions with external vendors and internal teams on architecture and integration.

Skills

Python

Java

AI-assisted tools

Agile

Secure coding

CI/CD

Cloud

Tools

Code review 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 the Test Integration & Implementation within Commercial & Investment bank payments technology team, 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 Testing 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): Python or Java
• 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 Testing 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

Preferred qualifications, capabilities, and skills

• Experience building tools for engineers supporting production environments
• Ability to manage complex and competing priorities in a fast-paced, evolving landscape with multiple teams and senior stakeholders.