Senior Lead Software Engineer

JPMorgan Chase & Co.

Greater London

On-site

GBP 120,000 - 180,000

Full time

8 days ago

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Job summary

JPMorganChase in the United Kingdom seeks a Senior Lead Software Engineer to drive end-to-end delivery in an agile Corporate Sector team. You will mentor engineers, shape technical direction, and own critical platform initiatives across Java, React, and AWS.

You will collaborate across disciplines to improve reliability, implement AI-assisted tooling, and champion secure, scalable cloud-native solutions. A strong background in SDLC, AI practices, and cloud technologies is essential.

Qualifications

  • Formal training or certification on software engineering concepts and applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages.
  • Experience leading the use of AI-assisted software development tools, with the ability to set team expectations for validating AI outputs.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, and compliance with resiliency and security standards.
  • Ability to independently solve design and functionality problems.
  • Practical experience with cloud-native technologies.
  • Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
  • Advanced applied experience in software engineering.
  • Familiarity with AI/ML-enabled troubleshooting and incident resolution approaches.
  • Experience driving strategic change and continuous improvement within engineering teams.

Responsibilities

  • Lead end-to-end engineering delivery across the full software development lifecycle for modern application platforms.
  • Leverage technologies such as Java, React, AWS, and related cloud-native services and tooling.
  • Own the \"you build it, you own it\" model—design, build, test, release, and support solutions, ensuring performance and continuous improvement.
  • Collaborate with cross-functional stakeholders to perform root cause analysis, implement production changes, and drive resiliency improvements.
  • Drive operational excellence by enhancing observability, alerting, automation, and post-incident reviews.
  • Mentor and guide engineers through coaching, design and code reviews, and best-practice reinforcement.
  • Drive adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
  • Apply strong knowledge of the SDLC/toolchain and AI-assisted automation to scale repeatable patterns and improve productivity.
  • Develop and support AI/ML-enabled approaches for troubleshooting and incident resolution.
  • Act as a collaborative team player and engineering leader, communicating clearly and coordinating effectively.

Job description

Introductory Marketing Language:

Join us and be at the forefront of technology innovation, where your expertise drives impactful solutions. You'll collaborate with talented professionals in a dynamic, agile environment that values your ideas and encourages growth. At JPMorganChase, we empower you to push boundaries, develop your skills, and make a real difference. Experience a culture that celebrates diversity, fosters inclusion, and supports your career journey.

Job Summary:

As a Senior Lead Software Engineer in the Corporate Sector, you will play a pivotal role in an agile team dedicated to building and delivering trusted, market-leading technology products. You will leverage your deep technical expertise to solve complex challenges across multiple technologies and applications. Your leadership will drive business impact, foster innovation, and ensure the stability and scalability of our solutions. You'll help shape our team culture and contribute to our mission of delivering excellence.

Job Responsibilities:
  • Lead end-to-end engineering delivery across the full software development lifecycle for modern application platforms.
  • Leverage technologies such as Java, React, AWS, and related cloud-native services and tooling.
  • Own the "you build it, you own it" model-design, build, test, release, and support solutions, ensuring performance and continuous improvement.
  • Collaborate with cross-functional stakeholders to perform root cause analysis, implement production changes, and drive resiliency improvements.
  • Drive operational excellence by enhancing observability, alerting, automation, and post-incident reviews.
  • Mentor and guide engineers through coaching, design and code reviews, and best-practice reinforcement.
  • Drive adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
  • Apply strong knowledge of the SDLC/toolchain and AI-assisted automation to scale repeatable patterns and improve productivity.
  • Develop and support AI/ML-enabled approaches for troubleshooting and incident resolution.
  • Act as a collaborative team player and engineering leader, communicating clearly and coordinating effectively.
Required Qualifications, Capabilities, and Skills:
  • Formal training or certification on software engineering concepts and applied experience (follow local country guidance as applicable).
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools, with the ability to set team expectations for validating AI outputs.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, and compliance with resiliency and security standards.
  • Ability to independently solve design and functionality problems.
  • Practical experience with cloud-native technologies.
Preferred Qualifications, Capabilities, and Skills:
  • Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
  • Advanced applied experience in software engineering (as applicable by region).
  • Familiarity with AI/ML-enabled troubleshooting and incident resolution approaches.
  • Experience driving strategic change and continuous improvement within engineering teams.

If you're ready to make an impact and grow your career in a supportive, innovative environment, we invite you to join us at JPMorganChase.

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