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.
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

