Associate Software Engineer

ROLE SUMMARY Are you an early-career software engineer who cares about writing good code and wants to learn from experienced engineers while building systems that matter? Join us at FTSE Russell! We’re building a team of engineers passionate about software craftsmanship, quality, and continuous improvement. As an Associate Software Engineer, you’ll contribute to the software that powers indices trusted by financial institutions worldwide, working alongside experienced engineers who will help you develop your technical skills and engineering judgement. We build primarily in Python, so experience with Python is valuable — but we’re equally interested in strong programming fundamentals and your ability to learn. If you’ve worked with Java, C#, C, C++, Scala, Go, Rust, or another modern programming language and are motivated to develop your Python skills, we’d like to hear from you. This is a hands-on engineering role. You’ll write, test, review, and improve production software as part of an experienced engineering team. You’ll learn how well-designed software is built and operated in practice — from clean code and automated testing to APIs, databases, cloud services, observability, and production support. You won’t be expected to know everything from day one. We’re looking for engineers with solid foundations, curiosity, and the willingness to learn, ask questions, take feedback, and gradually take ownership of increasingly complex work. If you’re excited about developing as a software engineer while building systems used in global financial markets, we’d love to meet you. WHAT YOU’LL BE DOING We’re building the next-generation index data platform at FTSE Russell — and you’ll help us build it: Writing clean, maintainable production code, primarily in Python, with guidance and support from more experienced engineers Building and enhancing software components, services, APIs, and shared libraries as part of a collaborative engineering team Writing automated tests and learning how to build software that is reliable, secure, and easy to maintain Participating in code reviews — learning from feedback on your own code and gradually developing the skills to review the work of others Investigating bugs and production issues, understanding root causes, and implementing well-tested fixes Working with relational databases such as Aurora PostgreSQL, learning good practices around data modelling, queries, and schema evolution Developing software running on AWS using technologies such as Lambda, containerised services, object storage, and other managed AWS services Contributing to data-intensive applications that process significant volumes of financial and index data Using CI/CD pipelines and development tooling to build, test, and deploy software safely Learning how observability, logging, monitoring, and quality controls help us operate reliable production systems