Senior Java Engineer

Senior Java Developer

Business Unit: FTSE Russell – Index Platform

Company: London Stock Exchange Group (LSEG)

We are seeking a highly skilled and hands‑on Senior 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.

• 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.

• 10+ years of hands‑on backend software engineering experience.
• Support the organisation’s AI adoption journey. Develop and enhance intelligent solutions using LLMs, Lang Chain/Lang Graph, and agentic AI frameworks.
• Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites.
• Strong algorithms, data structures, problem solving skills, and ability to translate business problems into scalable solutions.
• Good command of coding standards and strong understanding of both high level and low level software design.
• Expertise in:
  • Core Java
    , Python
  • Building highly distributed, data intensive systems
  • Microservices, REST APIs
  • RDBMS (Oracle/SQL Server/Postgres)
  • CI/CD tools (Jenkins/Git Lab), Dev Ops automation
  • Docker, Kubernetes
  • JVM profiling & performance optimisation
• Prior exposure to Level 3 production support.

• Experience leading or mentoring a team of engineers.
• Experience with in financial services or with financial market data.
• Familiarity with in‑memory caching, Spring Boot, Redis, Kafka.
• Experience with BDD frameworks such as Cucumber, JBehave, or Karate.
• Background as a Scrum Master or experience running Agile teams.

A 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.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.