Rust Systems Engineer: Distributed Storage & Kubernetes

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

Benefits offered by this job

Competitive compensation

Lunch via Just Eat

Barista bar

Casual dress code

Monthly company events

Job summary

G-Research, headquartered in London, builds a world-class platform to accelerate research through scalable systems and AI-driven workflows. As part of the Custom I/O team you’ll design and implement a distributed storage platform in Rust, enabling researchers to scale data workloads and access patterns.

You’ll work with researchers and engineers, shape architecture, run in Kubernetes, and integrate streaming tech like Kafka to deliver high-performance data infrastructure.

Qualifications

• Commercial experience developing production systems in Rust.
• Solid grounding in distributed systems and trade-offs.
• Experience building systems that handle large volumes of data reliably.
• Familiarity with Kafka is desirable.

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 production

Distributed systems

Data-intensive systems

Collaboration/communication

Testing & quality

Tools

Kubernetes

Kafka

Job description

G-Research, headquartered in London, builds a world-class platform to accelerate research through scalable systems and AI-driven workflows. As part of the Custom I/O team you’ll design and implement a distributed storage platform in Rust, enabling researchers to scale data workloads and access patterns.

You’ll work with researchers and engineers, shape architecture, run in Kubernetes, and integrate streaming tech like Kafka to deliver high-performance data infrastructure.