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Nscale

Develops and operates AI data centers

Senior Developer Experience Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • 6–10 years of experience in platform engineering, site reliability engineering, DevOps, or software engineering, including ownership of CI/CD or deployment systems used by many engineering teams.
  • Strong software engineering skills in Python, Go, or a similar language.
  • Deep experience with GitHub at organization scale, including Actions, self-hosted runners, rulesets, permissions, and governance, and with GitOps tooling such as Argo CD or Flux on Kubernetes.
  • Experience automating change management or release approval against a ticketing system, ideally Jira Service Management, and balancing compliance needs against developer speed.
  • Solid command of Kubernetes, Linux, networking, and distributed systems.
  • Experience with secrets and identity in pipelines, including Vault, short-lived credentials, or OIDC, and with artifact and supply chain management.
  • Ownership of a build and release system at scale, including build performance, reproducibility, cache strategy, release versioning and promotion, runner fleet capacity and cost, and artifact registry design.
  • Experience designing and running an internal developer platform, including a developer portal such as Backstage, and driving adoption across engineering teams.
  • Reliability practices including SLOs, observability and alerting, incident processes, and sustainable on-call practices.
  • Track record of treating developers as customers through surveys, adoption metrics, documentation, and deprecating tools that no longer earn their place.
  • Track record as a trusted senior voice in design reviews and incidents, able to make decisions under pressure.
  • Habit of raising the people around you without being asked.

Responsibilities

  • Own the delivery platform end to end, from pull request to production, and set its roadmap and direction.
  • Define golden paths, repository and workflow templates, release conventions, and deployment standards that make safe shipping easy.
  • Own the internal developer portal as the entry point to the paved road, including the service catalog, software templates, documentation, and adoption and ownership data.
  • Set the technical direction for GitOps across Argo CD and Flux, including multi-cluster promotion, drift detection, and guidance on when to use each tool.
  • Own the build and release layer and its performance, including build tooling, remote caching, container image builds, base images, the artifact registry, release versioning, and promotion.
  • Own local and ephemeral test environments, including LocalStack, so engineers can test against cloud APIs locally or in CI before using shared environments.
  • Design and lead change management automation into Jira Service Management, working with Security, audit, and engineering leadership so evidence, risk tiering, and approvals come from the pipeline rather than manual tickets.
  • Set delivery platform SLOs and SLIs, including lead time, deploy success rate, CI queue time, and rollback time, and use adoption and developer feedback data to guide future work.
  • Mentor engineers through design review, pairing, and incident debriefs, and maintain standards for quality and maintainability.
  • Participate early in design reviews and architecture decisions across Engineering so deployability, rollback, and change requirements are built in from the start.
  • Lead complex delivery platform incidents, identify root causes, and implement changes to prevent recurrence.
  • Bring teams onto shared tooling by earning trust, retiring old approaches, and demonstrating results.
  • Share the delivery platform on-call rotation, help shape how it operates, and reduce its burden over time.

Desired Qualifications

  • Experience with local cloud emulation such as LocalStack and ephemeral or preview environments.
  • Experience with policy as code using OPA or Kyverno, Terraform automation, and software supply chain practices such as SBOMs and image signing.
  • Experience with AI or GPU workloads, high-performance computing, or bare-metal environments.

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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