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Infrastructure Software Engineer, Apps Platform

Scale AI· Applications Platform Engineering
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Hybrid (London)Full-timePosted 6d ago

About the role

Infrastructure Software Engineer on the Apps Platform Infrastructure team responsible for building and evolving deployment and observability layers across multiple cloud providers and on-premises, aiming for cloud-agnostic infrastructure and deployment pipelines.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:Cloud platformsInfrastructure designIaC / Containerisation / OrchestrationCI/CD / GitOpsIncident response / debugging

Benefits

  • Policy requires a 90-day waiting period before reconsidering candidates for the same role (as per company policy)
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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