The posting, in Scale AI's own words
archived Sep 2, 2026Infrastructure Software Engineer, Apps Platform, London As an Infrastructure Engineer on the Apps Platform Infrastructure team, you'll help build and evolve our platform’s deployment and observability layers across multiple cloud providers and on-premises, for both internal and customer-managed environments. This is a role for someone who cares about building cloud-agnostic infrastructure and deployment pipelines. You'll partner closely with internal teams to understand how they use and deploy the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture.
You will:
Expand the deployment footprint of our platform to cover both on-premise, all major cloud platforms and beyond Ensure fast, secure, and reproducible deployments across all supported CSPs and on-prem Expand the observability of the platform so that forward deployed infrastructure teams can easily and efficiently operate customer deployments Partner closely with internal teams deploying the platform to understand their needs, debug issues, and build tooling that serves their use cases Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes Help develop and maintain a product roadmap for deployment and observability Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings
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Ideally you'd have:
5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker) Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI. Experience with GitOps-style deployments and a track record of ensuring consistent, repeatable deployments Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development