Rust Distributed Storage Engineer (Kubernetes & Kafka)

G-Research; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive pay

Lunch provided

Barista bar

Monthly events

Job summary

G-Research, based in London, seeks a Rust-focused engineer for the Custom I/O team to build a new distributed storage platform for scalable research workloads. You will design core components in Rust, ensure reliability for large data, and collaborate with researchers to meet data access needs.

The role emphasizes Kubernetes-based services, event-driven architectures, testing discipline, and clear communication of technical decisions across teams.

Qualifications

• Commercial experience developing production systems in Rust.
• Solid grounding in distributed systems and the trade-offs in design.
• 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.
• Collaborative approach and ability to explain technical decisions clearly.
• Commitment to testing, code quality and operational excellence.

Responsibilities

• 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.

Skills

Rust

Distributed systems

Data scales

Kubernetes

Kafka

Testing & quality

Communication

Tools

Kubernetes

Kafka

Job description

G-Research, based in London, seeks a Rust-focused engineer for the Custom I/O team to build a new distributed storage platform for scalable research workloads. You will design core components in Rust, ensure reliability for large data, and collaborate with researchers to meet data access needs.

The role emphasizes Kubernetes-based services, event-driven architectures, testing discipline, and clear communication of technical decisions across teams.