About this role
The Custom I/O team builds the storage technology that sits underneath much of our research. We are developing a new distributed storage platform, written in Rust, to give us greater scalability, performance and operational control. You will work closely with researchers and other engineers to understand how data is stored and accessed, and help shape the design of a platform that many teams depend on. AI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows. Key responsibilities of the role include: Designing and developing core components of a distributed storage platform in Rust Building scalable, resilient and performant systems for large data workloads Collaborating with researchers and engineers to understand data access requirements Contributing to architectural decisions across distributed systems and data management Developing and optimising services that run in Kubernetes environments Integrating event-driven and streaming technologies, including Kafka, into the wider platform Promoting engineering best practice, code quality and thorough testing
Requirements
The ideal candidate will have the following skills and experience: Commercial experience developing production systems in Rust A solid grounding in distributed systems and the trade-offs involved in designing them Experience building systems that handle large volumes of data reliably Experience with Kubernetes is beneficial Familiarity with event-driven or streaming technologies such as Kafka is desirable A collaborative approach and the ability to explain technical decisions clearly to colleagues A commitment to testing, code quality and operational excellence