Rust Systems Engineer – Distributed Storage at Scale

G-Research; City of Westminster; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Competitive pay

Lunch provided via Just Eat for Biz

Barista bar

Casual dress code

Monthly company events

Job summary

G-Research in London is seeking a seasoned Rust engineer to help design and build a new distributed storage platform underpinning its research platform. You will work with researchers and engineers to ensure scalable, low-latency data storage and access across teams.

The role emphasizes building robust systems, integrating Kafka and Kubernetes, and maintaining high standards of testing and quality. This is a London-based, on-site opportunity with a collaborative culture.

Qualifications

• Production-grade Rust development experience.
• Strong understanding of distributed systems and their trade-offs.
• Experience handling large volumes of data reliably.
• Familiarity with Kubernetes.
• Experience with event-driven/streaming technologies such as Kafka.
• 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

Large data volumes

Kubernetes

Kafka

Collaboration

Testing & quality

Tools

Kubernetes

Kafka

Job description

G-Research in London is seeking a seasoned Rust engineer to help design and build a new distributed storage platform underpinning its research platform. You will work with researchers and engineers to ensure scalable, low-latency data storage and access across teams.

The role emphasizes building robust systems, integrating Kafka and Kubernetes, and maintaining high standards of testing and quality. This is a London-based, on-site opportunity with a collaborative culture.