Lead Software Engineer - Client Onboarding

JPMorgan Chase & Co.; Glasgow; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorganChase in Glasgow seeks a Lead Software Engineer to design, develop, test, and maintain high-quality software supporting corporate functions. You will contribute across end-to-end development, from design to testing and delivery in Agile frameworks, collaborating with teams and stakeholders to drive outcomes.

You will enhance engineering quality through disciplined practices, implement CI/CD pipelines, and apply enterprise patterns while ensuring secure handling of AI-assisted tooling and

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience.
• Proficiency in Java development with J2EE server technologies (Web Services, Spring, ORM frameworks, XML, EJB, JMS).
• Working knowledge of CI/CD and build tooling (Jenkins, TeamCity, Maven).
• Working knowledge of design patterns, UML, and object-oriented concepts.
• Working knowledge of relational databases and SQL.
• Working knowledge of source control management tools (Bitbucket or equivalent).
• Working knowledge of UI technologies including HTML5 and JavaScript.
• Hands-on experience with AI-assisted software development tools with evaluation of AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows; secure handling and resiliency expectations.
• Ability to collaborate within a team and communicate effectively.

Responsibilities

• Design, develop, test, and maintain high-quality software and new product capabilities.
• Collaborate with cross-functional partners to deliver outcomes aligned to business needs.
• Communicate development progress, risks, and dependencies to the team and stakeholders.
• Apply Agile practices to support iterative delivery and continuous improvement.
• Implement and maintain CI/CD pipelines to support reliable builds and deployments.
• Use sound object-oriented design and common design patterns to create scalable solutions.
• Produce clear technical documentation and share knowledge across the team.
• Contribute to code quality through reviews, testing practices, and defect resolution.
• Drive team adoption of AI-assisted engineering practices to improve code quality, speed, and outcomes.

Skills

Java development

CI/CD

Design patterns

UML

SQL

Source control

Frontend basics

AI-assisted development

Secure coding

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Jenkins

TeamCity

Maven

Bitbucket

Job description

Create software that powers essential corporate functions and helps teams move faster with confidence. You'll join a curious, collaborative group of technologists focused on thoughtful design, analytics, development, and testing. You'll have the opportunity to grow your skills across the full software delivery lifecycle while working in modern engineering practices. If you enjoy solving complex problems and sharing ideas with teammates around the world, this role is for you.

As a Lead Software Engineer at JPMorganChase in the Client Onboarding & KYC team within Corporate Technology, you will build and enhance applications that support corporate functions across the firm. You will contribute across end-to-end software development, from design and development through testing and delivery in Agile frameworks. You will collaborate closely with your team and key stakeholders, keeping them informed on progress and outcomes. You will help improve engineering quality through disciplined development practices and a focus on high-quality software.

Our wider Corporate Technology team develops applications and provides technology support for corporate functions across our global network, including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office. You'll be part of a team built to meet evolving technology needs and deliver on our technology controls agenda.

Job responsibilities

• Design, develop, test, and maintain high-quality software and new product capabilities
• Collaborate with cross-functional partners to deliver outcomes aligned to business needs
• Communicate development progress, risks, and dependencies to the team and key stakeholders
• Apply Agile practices to support iterative delivery and continuous improvement
• Implement and maintain CI/CD pipelines to support reliable builds and deployments
• Use sound object-oriented design and common design patterns to create scalable solutions
• Produce clear technical documentation and support knowledge sharing across the team
• Contribute to code quality through reviews, testing practices, and defect resolution
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Proficiency in Java development with J2EE server technologies (Web Services, Spring, ORM frameworks, XML, Enterprise Java Beans, JMS)
• Working knowledge of CI/CD and build tooling (such as Jenkins, TeamCity, Maven)
• Working knowledge of design patterns, UML, and object-oriented concepts
• Working knowledge of relational databases and SQL
• Working knowledge of source control management tools (Bitbucket or equivalent)
• Working knowledge of UI technologies including HTML5 and JavaScript
• 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
• Ability to collaborate within a team and build effective working relationships
• Effective written and verbal communication skills

Preferred qualifications, capabilities, and skills

• Working knowledge of Angular or React
• Working knowledge of AWS or equivalent cloud technologies