Role Summary: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 operationalizing 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.
What We're Looking ForA 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.
What You Will be Doing:- Design, develop, and maintain complex Java and Python applications using modern engineering practices. Build / embed AI powered features into 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.
What You Will Bring:- 10+ years of hands-on backend software engineering experience.
- Support the organisation's AI adoption journey.
- Develop and enhance intelligent solutions using LLMs, LangChain/LangGraph, and agent AI frameworks.
- Establish engineering guidelines 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/GitLab), DevOps automation.
- Docker, Kubernetes.
- JVM profiling & performance optimisation.
- Prior exposure to Level 3 production support.
Preferred Skills & Experience:- Excellent Algorithm and Problem-Solving skills.
- Ability to convert business use cases and problems into technical solutions.
- Ability to learn quickly, creative, results driven, self-motivated, and solutions oriented.
- Ability to work against tight objectives.
- Demonstrates a can-do demeanour, leads change, thinks strategically.
- Experience in CI/CD tools & automation e.g., Jenkins/GitLab/similar DevOps tooling.
- Experience working on Performance Optimizations, JVM Profiling.
- Mentor team of junior developers
- Extensive hands-on experience in:
- Core Java, good understanding of Data Structures and Algorithms
- Python core concepts and proficiency with its libraries and framework
- Relational DB for e.g. (Oracle /SQL server /Postgres SQL)
- DevOps (CI/CD)
- Docker, Kubernetes
- Microservices and REST APIs.
- Good Understanding of Multi-threading & Concurrency.
Nice to have:- Experience leading or mentoring a team of engineers.
- Experience within 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.
