IT & Software

Lead Software Engineer – Python / Java - AI

JP Morgan Chase

London · England · United Kingdom

Salary: £62,000 - 102,000 per year

Requirements:

  • We require 5+ years of hands-on practical experience delivering system design, application development, testing, and operational stability using Python, Java, or C++.
  • We require hands-on experience with AI components and a strong understanding of how to apply them in modern technology stacks.
  • We require foundational understanding of AWS services and best practices, with practical cloud-native experience.
  • We require proficiency in automation and continuous delivery methods.
  • We require proficiency across all aspects of the Software Development Life Cycle.
  • We require advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
  • We require demonstrated proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile.
  • We require interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams.
  • We require strong communication skills and a passion for advancing technology through AI and modern engineering practices.
  • Preferred: experience building scalable AI platforms for trading or financial services.
  • Preferred: experience modernizing legacy systems with AI tooling.
  • Preferred: in-depth knowledge of the financial services industry and its IT systems.
  • Preferred: experience supporting production systems in partnership with L1 support teams.
  • Preferred: demonstrated ability to drive technical innovation and continuous improvement in a fast-paced environment.

Responsibilities:

  • We execute creative software solutions, including design, development, and technical troubleshooting, and we think beyond routine approaches to solve complex problems.
  • We build and support AI-native systems to expand our eTrading capabilities, including scalable AI platforms for trading and modernization of incumbent systems with AI tooling.
  • We engage directly with Credit Sales and Trading business partners to understand their strategy and establish technical solutions in partnership with Product teams.
  • We architect and build new systems hands-on, leveraging AI-assisted coding and modern engineering practices.
  • We develop secure, high-quality production code and review and debug code written by others.
  • We identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and system stability KPIs.
  • We partner with L1 support teams to provide direct support for production systems, ensuring reliability and rapid issue resolution.
  • We lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within our systems and information architecture.
  • We lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
  • We contribute to our culture of diversity, opportunity, inclusion, and respect.

Technologies:

  • AI
  • AWS
  • Architect
  • CI/CD
  • Cloud
  • Support
  • Java
  • Machine Learning
  • Mobile
  • Python
  • Security

More:

We are J.P. MorganChase, a global leader in financial services and a key part of the Commercial & Investment Bank, serving corporations, governments, institutions, and investors in more than 100 countries. Our Credit Technology team works within an agile environment to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. We offer an opportunity to make a meaningful impact on your career while helping us advance eTrading capabilities through AI-native systems, modern engineering practices, and close partnership with business teams. We value diversity and inclusion, support reasonable accommodations, and foster a first-class way of serving our clients through trusted, long-term partnerships.

last updated 36 week of 2026

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Reference: WJ-766_21881007

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