Lead Software Engineer

JPMorganChase

Glasgow, UKonsitePosted Jul 21, 2026
Posting intelligenceActively listedReposted 15×, possible evergreen/ghost posting

Skills

databricksspringoraclepythoncicdjavaawsml

About the role

JOB DESCRIPTION

As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management International Private Bank Derivatives 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

Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Develop secure high-quality production code, and review and debug code written by others

Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Lead 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

Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Add to team culture of diversity, opportunity, inclusion, and respect

Drive 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

Apply 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

Required qualifications, capabilities, and skills

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 proficiency in one or more programming languages

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle

Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)

In-depth knowledge of the financial services industry and their IT systems

Practical cloud-native experience

Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred qualifications, capabilities, and skills

Full-stack development experience with Java, Spring Framework, and React JS (including Redux)

Experience with event-driven architectures and messaging platforms such as Kafka and IBM MQ

Proficiency in both SQL and NoSQL databases

Experience working with private and public cloud environments

Familiarity with Agile and Kanban methodologies

Exposure to AI/ML concepts and their application within engineering workflows

ABOUT US

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.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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