Lead Java Engineer - AI-Driven Financial Index Platform

London Stock Exchange Group; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare

Pension plan

Volunteer days

Wellbeing initiatives

Job summary

London Stock Exchange Group (LSEG) is seeking a hands-on Lead Java Engineer with AI proficiency to advance the FTSE Russell Index Platform. You will design, build, and operationalise modern software and AI-driven capabilities across internal platforms and client products, collaborating with global teams to deliver high-quality, scalable solutions.

The role focuses on complex algorithmic design, performance-critical data processing, and engineering excellence in a data-intensive environment.

Qualifications

• 12+ years of backend software engineering experience.
• Experience in AI adoption, LangChain/LangGraph and LLMs.
• Strong knowledge of Java, Python, microservices and distributed systems.

Responsibilities

• Design, develop, and maintain complex Java and Python applications using modern practices.
• Build / embed AI powered features into mission critical systems.
• Architect and enhance services for large scale, performance sensitive 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.

Skills

Java

Python

AI integration

Distributed systems

Leadership

CI/CD

DevOps

Tools

Jenkins

GitLab

Docker

Kubernetes

Oracle/SQL Server/Postgres

Job description

London Stock Exchange Group (LSEG) is seeking a hands-on Lead Java Engineer with AI proficiency to advance the FTSE Russell Index Platform. You will design, build, and operationalise modern software and AI-driven capabilities across internal platforms and client products, collaborating with global teams to deliver high-quality, scalable solutions.

The role focuses on complex algorithmic design, performance-critical data processing, and engineering excellence in a data-intensive environment.