Sr Lead Software Engineer - Java

JPMorgan Chase & Co.

Uddingston

Presencial

GBP 70.000 - 110.000

Jornada completa

14 días+

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Descripción de la vacante

JPMorganChase is seeking a Sr Lead Software Engineer to drive secure, scalable technology solutions within Enterprise Technology. The role emphasizes AI-assisted development, architecture evaluation, and leadership across cross‑functional teams.

You will contribute to design, coding, and operational stability while advancing secure practices and modern SDLC tools in a fast-paced, enterprise environment.

Formación

  • Formal training or certification in software engineering concepts.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Experience leading use of AI-assisted software development tools and validating AI outputs for correctness, performance, and security.

Responsabilidades

  • Execute secure, high-quality production code and review code written by others.
  • Develop secure and high-quality production code, and review and debug code written by others.
  • Identify opportunities to automate remediation of recurring issues to improve stability.
  • Lead evaluation sessions with external vendors, startups, and internal teams on architectural designs and applicability for use within existing systems.
  • Drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and outcomes.
  • Applies SDLC tools and AI-assisted automation to improve value realized by automation.

Conocimientos

Advanced programming skills
AI-assisted development tools
Agile methodologies
Cloud native experience
Secure coding practices

Herramientas

AI-assisted development tools
CI/CD tools
Security testing tools

Descripción del empleo

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Sr Lead Software Engineer at JPMorganChase within Enterprise Technology 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
  • 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
  • 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
  • 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 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 technology systems
  • Practical cloud native experience
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