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Senior Lead Software Engineer - Java, React, AI

JPMC Candidate Experience page
Glasgow, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
ReactTypeScriptJavaSpring BootAWS
Free

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Job responsibilities

  • Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develop secure and high-quality production code, and review and debug code written by others
  • Drive decisions that influence product design, application functionality, and technical operations and processes
  • Serve as a subject matter expert in one or more areas of focus, sharing knowledge and best practices across the engineering community
  • Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the Software Development Life Cycle
  • Influence peers and project decision-makers to consider the use and application of leading-edge technologies
  • Foster a team culture of diversity, opportunity, inclusion, and respect
  • 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 with a strong focus on code quality and maintainability
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience with a strong understanding of scalability, resiliency, and security principles
  • Background in Computer Science, Computer Engineering, Mathematics, or a related technical field
  • 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

Preferred qualifications, capabilities, and skills

  • Experience designing and developing modern, responsive front-end interfaces using React, TypeScript, and component-based architecture
  • Proficiency in back-end development using Java frameworks (e.g., Spring Boot) for building RESTful APIs and microservices
  • Hands-on experience with cloud platforms (e.g., AWS) including container orchestration, serverless computing, and infrastructure-as-code
  • Experience with database technologies including relational and NoSQL solutions, caching strategies, and asynchronous messaging patterns

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