> Markdown version of [/jobs/ext/4079593-software-engineer-research-platforms](https://www.wearedevelopers.com/jobs/ext/4079593-software-engineer-research-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Research Platforms - **Company:** Qube Research & Technologies - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), C++ (Programming Language), Extract Transform Load (ETL), Data Security, Data Systems, Distributed Systems, Fault Tolerance, Python (Programming Language), Software Engineering, Rust (Programming Language), Concurrency, Golang - **Published:** October 13, 2026 - **Apply:** https://startup.jobs/software-engineer-research-platforms-qube-research-technologies-10415917 ## About the Role * At least five years of experience building and operating production software systems. * Strong software engineering skills in Go, Python, C++, Rust, Java or a similar language. * Experience designing distributed systems at scale, with an understanding of performance, concurrency, fault tolerance and reliability. * Experience building services or platforms used by other engineers. * Knowledge of large-scale storage, data movement, or data-intensive computing workloads. * Understanding of how storage and networking affect distributed system performance. * Experience working across cloud and on-premises environments. ## Description You will join the Data Engineering team, which builds software that enables Quantitative Researchers to access and use data across cloud and on-premises computing environments. The team works with other engineering groups to support data-intensive research workloads. Your Future Role within QRT You will: * Design, build and operate distributed software that manages data across research environments. * Enable reliable and efficient data access for large-scale compute workloads. * Address challenges involving data movement, locality, performance and scale. * Develop services and tooling used by Quantitative Researchers and engineering teams. * Improve the security, observability and resilience of data systems. * Work with researchers and engineers to understand requirements and deliver practical solutions. * Own systems from design and implementation through production operation.