22 hours ago
London, United KingdomSenior
Responsibilities
- Design and develop core components of a distributed storage platform in Rust.
- Build scalable, resilient, and performant systems for large data workloads.
- Collaborate with researchers and engineers to understand data-access requirements.
- Contribute to architectural decisions involving distributed systems and data management.
- Develop and optimize services running in Kubernetes environments.
- Integrate event-driven and streaming technologies, including Kafka, into the platform.
- Promote engineering best practices, code quality, thorough testing, and operational excellence.
Requirements
- Commercial experience developing production systems in Rust.
- Solid grounding in distributed systems and the trade-offs involved in designing them.
- Experience building systems that reliably handle large volumes of data.
- Ability to collaborate effectively and explain technical decisions clearly.
- Commitment to testing, code quality, and operational excellence.
- Kubernetes experience is beneficial.
- Familiarity with event-driven or streaming technologies such as Kafka is desirable.
Benefits
- Highly competitive compensation is offered, with no specific amount stated.
- Lunch is provided through Just Eat for Business, along with a dedicated barista bar.
- Informal dress code and excellent work/life balance.
- Monthly company events.
- This is a contract role based in London.
- Contract applications for London-based roles are handled through a third-party recruitment partner.
Tech Stack
Categories
About G-Re
G-Research is a London-based quantitative research and technology firm that develops models, data pipelines, and trading systems to forecast movements in global financial markets. It employs researchers and software engineers to build machine-learning-driven strategies and the infrastructure that supports systematic investing, spanning high-performance compute and secure networks. Privately held and founded in 2001, the company operates from its London headquarters and focuses on institutional, data-intensive finance.