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Lead Developer, Backend Developer, DevOps

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: London Stock Exchange
Full Time position
Listed on 2026-09-03
Job specializations:
  • Software Development
    Backend Developer, DevOps, Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 GBP Yearly GBP 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

  • We are seeking a highly skilled and hands-on Lead Java Engineer with AI proficiency to help build the next generation FTSE Russell Index Platform. This platform underpins the calculation and distribution of FTSE Russell’s global family of indexes and requires advanced engineering, high precision data processing, and deep collaboration across global teams
  • This is a deeply technical role focused on designing, building, integrating, and ope rationalising modern software and AI driven capabilities across internal platforms and client facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence in a high performance, data intensive environment
  • Core Engineering & Platform Delivery
  • Design, develop, and maintain complex Java and Python applications using modern engineering practices. Build / embed AI powered features into mission critical systems
  • Architect and enhance services that support large scale, performance critical index computations
  • Collaborate with Product Managers, UX, and engineering teams globally to deliver high quality products
  • Lead projects end-to-end through requirements, design, development, testing, deployment, and operations
  • Build and maintain automated test suites to ensure performance, scalability, and security
  • Diagnose production issues, identify root causes, and deliver Level 3 support and fixes
  • Conduct peer reviews, provide technical leadership, and mentor junior engineers
  • Expertise in:

    Core Java, PythonCI/CD tools (Jenkins/Git Lab), Dev Ops automation

    Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suitesJVM profiling & performance optimisation

    Good command of coding standards and Strong understanding of both high level and low level software design

    Microservices, REST APIsStrong algorithms, data structures, problem solving skills, and ability to translate business problems into scalable solutions

    Support the organisation’s AI adoption journey. Develop and enhance intelligent solutions using LLMs, Lang Chain/Lang Graph, and agentic AI frameworksRDBMS (Oracle/SQL Server/Postgres)
    Docker, Kubernetes Building highly distributed, data intensive systems
    12+ years of hands-on backend software engineering experience

    Prior exposure to Level 3 production supportA proactive, creative engineering leader who enjoys solving complex problems, working hands-on with modern technologies, and driving AI enabled innovation. If you’re passionate about building resilient, intelligent, data intensive systems that power global financial markets, we’d love to hear from you

    Experience with in financial services or with financial market data

    Experience with BDD frameworks such as Cucumber, JBehave, or Karate Experience leading or mentoring a team of engineers

    Experience running Agile teams

    Familiarity with in-memory caching, Spring Boot, Redis, Kafka
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