Lead Software Engineer - Java

JPMorgan Chase & Co.

Bournemouth

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

JPMorgan Chase & Co. in Bournemouth seeks a Lead Software Engineer to advance secure, scalable market-leading technology in Cash Asset Management.

You will lead development, design, and operational stability while integrating AI-assisted engineering practices to elevate code quality and delivery speed. The role requires strong SDLC expertise, cloud-native experience, and deep knowledge of the financial services IT landscape, with agile methods guiding CI/CD and resiliency.

Qualifications

  • Formal training or certification in software engineering concepts.
  • Experience delivering system design, app development, testing, and operational stability.
  • Advanced proficiency in at least one programming language.
  • Experience guiding AI-assisted development practices and code reviews.
  • Strong understanding of responsible AI use and security in engineering.
  • Full SDLC knowledge and agile practices like CI/CD.
  • Deep knowledge of financial services IT systems.
  • Hands-on cloud-native experience.

Responsibilities

  • Execute creative software solutions, design, development, and troubleshooting with the ability to think beyond routine approaches.
  • Develop secure, high-quality production code and review code written by others.
  • Drive adoption of enterprise-authorized AI-assisted engineering practices to improve quality, speed, and operations, with secure validation standards.
  • Apply knowledge of SDLC tools and AI-assisted development to improve automation value.
  • Identify opportunities to automate recurring remediation and improve stability of software applications.
  • Lead evaluation sessions with vendors and internal teams to probe architectural designs and technical choices.

Skills

Programming languages
System design
AI-assisted tools
Secure coding practices
Agile / CI-CD
Cloud native
Financial services IT
Leadership experience

Tools

AI-assisted development 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 Cash Asset Management, 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 and high-quality production code, and review and debug code written by others
  • 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
  • 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 cr
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
  • Demonstrated experience leading effective use of enterprise-authorized 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 information technology systems
  • Practical cloud native experience
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