Remote Rust Backend Engineer for AI-Powered Cloud Tools

JobCubby

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Stock options
Remote-first culture
Async-friendly work

Job summary

MetalBear is a remote-first, early-stage company building mirrord, a Kubernetes development platform that lets developers and AI agents run code against a live cluster before deployment.

Join a small, world‑class engineering team to implement Rust-powered cloud-native features, collaborate on architecture, and engage with users to understand requirements and rapidly fix issues in distributed environments.

Qualifications

  • 3+ years of professional software development experience.
  • At least 1 year of writing production-grade Rust.
  • Based between UTC-5 and UTC+4.
  • Strong systems-level thinking and the ability to debug complex, distributed environments.
  • Comfort working async in a remote-first startup environment.
  • Familiarity with cloud-native environments beyond the basics (Docker, containers, Kubernetes).
  • Familiarity with backend infrastructure tooling like datastores, message brokers, GitOps tools, etc.
  • Good communication skills.

Responsibilities

  • Contribute Rust code that creates, manages, reconfigures and adapts cloud resources.
  • Use AI smartly to deliver high quality code, faster.
  • Collaborate closely with our small, world-class engineering team on architecture, new feature design and infrastructure.
  • Engage directly with users to gather requirements, develop solutions, and debug issues.

Skills

Rust
Distributed systems
Async
Cloud-native
Communication

Tools

Docker
Kubernetes
GitOps

Job description

MetalBear is a remote-first, early-stage company building mirrord, a Kubernetes development platform that lets developers and AI agents run code against a live cluster before deployment.

Join a small, world‑class engineering team to implement Rust-powered cloud-native features, collaborate on architecture, and engage with users to understand requirements and rapidly fix issues in distributed environments.

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