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Nscale

Develops and operates AI data centers

Developer Experience Engineer - AI Infrastructure Operations

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Three to six years of experience in DevOps, platform engineering, site reliability engineering, or software engineering, including experience building CI/CD or deployment tooling used by other engineers.
  • Strong programming skills in Python, Go, or a similar language.
  • Hands-on experience with GitHub Actions and GitHub organization administration, and at least one GitOps tool such as Argo CD or Flux.
  • Working knowledge of Kubernetes and containers.
  • Hands-on experience with a build and release system, including CI build tooling, versioned releases, and promotion between environments; container image builds using BuildKit, Kaniko, or similar; and an artifact registry such as Artifactory.
  • Experience with an internal developer portal or service catalog such as Backstage, or willingness to learn one quickly.
  • Linux and networking fundamentals sufficient to debug runners, build hosts, and cluster problems.
  • Fluency with monitoring and observability, including metrics, logs, dashboards, and alerting.
  • A track record of troubleshooting live production issues and owning fixes through the retrospective.
  • Treat developers as customers by identifying what slows them down and measuring whether proposed fixes helped.
  • Comfort working in a fast-moving environment where priorities shift and filling gaps without waiting to be asked.

Responsibilities

  • Build and own tooling that carries code from pull request to production, including GitHub Actions workflows, runners, and Argo CD and Flux deployment pipelines.
  • Own build and release tooling, remote caching, container image builds, base images, the artifact registry, and release versioning and promotion to make builds fast, reproducible, and cost-effective.
  • Own local and ephemeral test environments, including LocalStack, so engineers can test against cloud APIs on laptops or in CI before changes reach a shared environment.
  • Automate change management by connecting git, CI, and deployment events to Jira Service Management so change records, risk tiers, and approvals are created and updated without manual ticket work.
  • Define and maintain SLOs, SLIs, and dashboards for the delivery platform, including CI queue time, build duration, deployment success rate, rollback time, and GitOps sync latency.
  • Identify slow, manual, or error-prone steps between a merge and a running service and remove them with code.
  • Maintain delivery-platform reliability by troubleshooting pipeline and deployment failures, driving root cause analysis, and running post-incident reviews that improve the system.
  • Maintain repository standards, including branch protection, CODEOWNERS, reusable workflows, secrets handling, and repository templates.
  • Operate the internal developer portal or equivalent, including its service catalog, software templates, and documentation that help engineers find owners, scaffold services, and deploy without filing a ticket.
  • Partner with Engineering, SRE, Security, and Infrastructure teams; onboard teams to the paved road, write documentation, and act on their feedback.
  • Participate in an on-call rotation for the delivery platform and improve the platform so each rotation requires less effort over time.

Desired Qualifications

  • Experience with Jira Service Management, Jira workflow and API automation, or ITIL-style change processes.
  • Experience with progressive delivery or workflow tooling such as Argo Rollouts or Argo Workflows, or experience operating more than one GitOps tool in the same environment.
  • Experience with Vault, OIDC federation for CI, and software supply-chain practices such as SBOMs and image signing.
  • Experience with Terraform and policy as code such as OPA or Kyverno.
  • Experience with local cloud emulation such as LocalStack and ephemeral or preview environments.
  • Familiarity with GPU, AI, or bare-metal infrastructure.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
N/A
Total funding
$13.2B
Headquarters
London, United Kingdom
Founded
2024

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