Senior Rust Engineer – Distributed Storage Platform

Arcus Search

Greater London

On-site

GBP 129,000 - 185,000

Full time

14 days+

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Job summary

Arcus Search is seeking a Senior Rust Engineer to join a high-impact storage engineering team in London. You will design and implement core components of a greenfield distributed storage platform, focusing on scalability, performance, and reliability within a Kubernetes-based environment.

The role involves collaborating with quant researchers and infrastructure teams to shape architecture, drive best practices, and deliver a data-intensive platform that reduces reliance on third-party storage

Qualifications

  • Commercial experience developing production systems in Rust (ideally 1–2+ years).
  • Strong background building distributed systems and scalable backend platforms.
  • Experience working with Kafka and event-driven architectures.
  • Hands-on experience with Kubernetes and cloud-native technologies.

Responsibilities

  • Design and develop core components of a greenfield distributed storage platform using Rust.
  • Build highly scalable, resilient, and performant systems capable of handling large-scale data workloads.
  • Collaborate with quantitative research and engineering teams to understand storage and data access requirements.
  • Contribute to architectural decisions across distributed systems, data management, and platform scalability.
  • Develop and optimise services running within Kubernetes-based environments.
  • Integrate event-driven and streaming technologies, including Kafka, into the wider platform ecosystem.
  • Drive engineering best practices, code quality, testing, and operational excellence.

Skills

Rust
Distributed systems
Kubernetes
Kafka
Performance optimization

Job description

Arcus Search is seeking a Senior Rust Engineer to join a high-impact storage engineering team in London. You will design and implement core components of a greenfield distributed storage platform, focusing on scalability, performance, and reliability within a Kubernetes-based environment.

The role involves collaborating with quant researchers and infrastructure teams to shape architecture, drive best practices, and deliver a data-intensive platform that reduces reliance on third-party storage

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