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Sr Lead Software Engineer - Java / Python

JPMorgan Chase
London, GBR
Full-time
Senior
Onsite
Discovered 1 weeks ago
JavaPythonSpringSpring BootKubernetesLinux
Free

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  • Executes and oversees end-to-end software solutions, engineering standards, architecture, and technical troubleshooting for trading systems
  • Designs and builds high-performance, latency-sensitive services with awareness of upstream/downstream system dependencies
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Leads technical analysis, estimation, planning, code reviews, architecture sessions, and retrospectives to drive delivery outcomes
  • Establishes reliability goals and implements observability, resilience patterns, and operational readiness practices
  • Leads incident response and post-incident reviews to improve production stability and performance; identifies recurring issues and drives automation/remediation
  • Upholds secure-by-default engineering practices and risk/control standards across the SDLC
  • Guides integration contracts, API/versioning strategies, and deprecation paths for platform services
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and security
  • Mentors engineers and contributes to a culture of inclusion, respectful collaboration, and continuous improvement aligned to measurable outcomes
  • Formal training or certification on software engineering concepts and advanced applied experience in Java / Python
  • Hands-on practical experience delivering system design, application development, testing, and operational stability for mission-critical platforms
  • Advanced in one or more programming language(s), with deep hands-on expertise in Java (17+), including concurrency, memory management, and object-oriented design
  • Demonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations)
  • Practical experience with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking/messaging concepts
  • Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automated testing practices, application resiliency, and security
  • Demonstrated experience leading effective use of enterprise-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 and secure handling of inputs/outputs, aligned to resiliency and security expectations
  • Effective communication with technical and non-technical audiences; ability to operate in globally distributed teams
  • Exposure to messaging systems and market protocols (e.g., MQ/Kafka; familiarity with FIX and Solace)
  • Experience with observability stacks and resilience engineering for low-latency / latency-sensitive platforms
  • Familiarity with Python
  • Experience operating services in regulated environments with strong auditability and controls

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