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Salary
≈ $98k – $198k per year (Estimated)
Location
In office (London)
Seniority
Staff · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 13, 2026. London Stock Exchange scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in London, United Kingdom, the London Stock Exchange is one of the world's oldest and most prominent financial exchanges. It provides international capital markets, premier listing venues such as the Main Market and AIM, and electronic trading infrastructure for equities, bonds, and exchange-traded funds. As a core subsidiary of the London Stock Exchange Group, it connects global issuers with investors to facilitate efficient capital formation, market liquidity, and economic growth.

Join our team as a Lead Java Engineer with AI proficiency. In this deeply technical role, you will design, build, integrate, and operationalize 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. Your expertise in core Java, Python, CI/CD tools, microservices, and RDBMS will be essential in delivering high-quality products and supporting the organization's AI adoption journey.

Missions

  • Design, develop, and maintain complex Java and Python applications, embedding AI-powered features into mission-critical systems.
  • Lead projects end-to-end through requirements, design, development, testing, deployment, and operations, ensuring high-quality product delivery.
  • Establish engineering best practices for safe, scalable, traceable, and production-ready AI deployments across internal platforms and external product suites.

Profil recherché

- Expertise in:

- Core Java, Python

- CI/CD tools (Jenkins/GitLab), DevOps automation

- Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites

- JVM profiling & performance optimisation

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

- Microservices, REST APIs

- Strong 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, LangChain/LangGraph, and agentic AI frameworks

- RDBMS (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 support

- 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

- Experience within 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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