Rust Systems Engineer, Distributed Storage & AI Platform

G-Research

City of Westminster

On-site

GBP 110,000 - 160,000

Full time

25 hours ago
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Job summary

G-Research, based in London HQ, unites world-class researchers and engineers to build a world-class platform that amplifies ideas. You’ll join the Custom I/O team to design and develop a new distributed storage platform in Rust, aimed at greater scalability, performance and operational control.

You’ll collaborate with researchers and engineers to shape data storage and access while promoting testing, reliability and Kubernetes-based deployment.

Qualifications

  • Commercial experience developing production systems in Rust.
  • Strong grounding in distributed systems and the trade-offs involved in designing them.
  • 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 the ability to explain technical decisions clearly to colleagues.
  • 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 production
Distributed systems
Big data systems
Kubernetes
Kafka
Communication
Code quality

Tools

Kafka

Job description

G-Research, based in London HQ, unites world-class researchers and engineers to build a world-class platform that amplifies ideas. You’ll join the Custom I/O team to design and develop a new distributed storage platform in Rust, aimed at greater scalability, performance and operational control.

You’ll collaborate with researchers and engineers to shape data storage and access while promoting testing, reliability and Kubernetes-based deployment.

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