Senior AI Cloud Engineer - Distributed Systems & MLOps

Radiant

Greater London

Hybrid

GBP 100,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

25 days annual leave
Private medical insurance (Bupa)
Cycle to Work Scheme
Gympass subscription
Company shares program
Enhanced parental pay & leave
Learning Time

Job summary

Radiant is hiring a Senior Software Engineer to own major parts of its AI cloud platform. You will join one of five teams—Infra, Cluster, Observability, MLOps Training, or MLOps Inference—and be matched to the best fit for your experience.

You will design, build, and operate distributed services at datacentre scale, collaborating with product, infrastructure, SRE, and other engineers. You’ll translate product requirements into robust designs and APIs, improve testing and performance, and

Qualifications

  • Solid hands-on engineering skills in Go or similar.
  • Depth in infrastructure, cluster management, observability, or MLOps (training or inference).
  • Comfortable working in Linux and with Kubernetes and containers.
  • Clear communicator who takes ownership of their work.

Responsibilities

  • Design, build, and operate distributed services for your team's part of the platform.
  • Own features from design through production, operation, and continuous improvement.
  • Translate product requirements into clear technical designs and APIs.
  • Improve testing, reliability, and performance across your services.
  • Take part in on-call and incident response for the systems you build.
  • Mentor engineers and contribute to design and code review.

Skills

Go
Distributed systems
Linux
Kubernetes

Tools

Container runtimes

Job description

Radiant is hiring a Senior Software Engineer to own major parts of its AI cloud platform. You will join one of five teams—Infra, Cluster, Observability, MLOps Training, or MLOps Inference—and be matched to the best fit for your experience.

You will design, build, and operate distributed services at datacentre scale, collaborating with product, infrastructure, SRE, and other engineers. You’ll translate product requirements into robust designs and APIs, improve testing and performance, and

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