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oracle

Lead Software Engineer - Java

JPMorgan Chase
London, GBR
Full-time
Lead
Onsite
Discovered 1 weeks ago
awsgitgradlejavajenkinslinux

Full Job Posting

Job Responsibilities

  • Execute creative software solutions through design, development, and technical troubleshooting to break down complex problems
  • Develop secure, 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 review of architectural designs, technical credentials, and fit within existing systems and information architecture
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Contribute to a team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced proficiency in one or more programming languages
  • Expert Java Programmer (Java 11+) with dedication to clean, maintainable code
  • 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
  • Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
  • Practical cloud-native experience
  • In-depth knowledge of software design and architecture principles
  • Agile SDLC experience – Scrum, code reviews, and mentoring junior team members
  • Experience using modern engineering toolchains for build, dependency management, CI/CD, and code quality (e.g., Git, Gradle, Jenkins, Sonar)
  • In-depth knowledge of the financial services industry and their IT systems

Preferred Qualifications, Capabilities, and Skills

  • Strong Linux command line skills
  • Cloud platform experience, preferably AWS
  • Familiarity with modern web UI technologies

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