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Lead Java Full-Stack AWS Software Engineer - Vice President

JPMC Candidate Experience page
London, GBR
Full-time
Senior · 10+ years experience
Onsite
Discovered 2 weeks ago
AWSKubernetesJavaJVMCI/CDDevOps
Free

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Job Responsibilities

  • Design, develop, and deploy high-quality, maintainable, and well-tested software solutions on AWS
  • Architect and implement microservices-based applications, leveraging Kubernetes for orchestration and scalability
  • Collaborate with product and engineering teams to deliver reliable, scalable, and efficient software
  • Participate in design reviews to strengthen architectural resilience, fault tolerance, and scalability
  • 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.
  • Develop and maintain monitoring and alerting systems to ensure comprehensive visibility into system health and performance
  • Troubleshoot and resolve complex technical issues to maintain system integrity and performance
  • Champion best practices in software engineering, reliability, and resiliency, and mentor team members

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 10+ years of applied experience, with a strong focus on AWS cloud development
  • Hands-on experience building production-grade software in Java
  • Experience with developing and deploying containers, CI/CD and DevOps practices
  • Experience working with both relational and NoSQL databases
  • 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
  • Strong knowledge of distributed systems, microservices architecture, and reliability patterns
  • Solid understanding of networking concepts and Unix/Linux environments
  • Experience analyzing, troubleshooting, and supporting large-scale, cloud-native systems

Preferred Qualifications, Capabilities, and Skills

  • Advanced knowledge of Java, object-oriented programming, and the JVM, especially in AWS environments
  • Experience with infrastructure as code and modern monitoring/observability practices
  • Experience working in the financial or fintech industry

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