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Engineering Manager, Infrastructure

Scale AI· Enterprise Engineering
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Hybrid (London)Full-timePosted 2mo ago

About the role

Infrastructure Engineering Manager at Scale AI, leading a team responsible for turning innovative AI prototypes into scalable, high-performance enterprise infrastructure and platform capabilities. Focus on defining the infrastructure roadmap, building secure and reliable systems, and aligning with product, security, and leadership to enable AI-driven applications and enterprise SaaS products.

Responsibilities

  • Define and execute the infrastructure roadmap aligned with business and engineering priorities.
  • Lead the design and implementation of scalable, secure, and reliable infrastructure systems.
  • Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience.
  • Manage the engineering team and drive technical delivery
  • Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation
  • Influence the culture, values, and processes of a growing engineering team
  • Inspire and mentor engineers.
  • Work closely with product, security, and engineering leadership to align on goals and priorities.

Qualifications

  • At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams.
  • Proven experience with cloud platforms such as AWS, GCP, Azure or OCI.
  • Proven experience with kubernetes deployments on on-prem infrastructure.
  • Deep understanding of CI/CD pipelines (e.g., Circle CI, Github Actions), infrastructure-as-code (e.g., Terraform), and container orchestration (e.g., Kubernetes).
  • Experience managing production environments with high availability, reliability, and scalability requirements.
  • Familiarity with monitoring, alerting, and incident response best practices.
  • Experience working with modern developer platforms and internal tooling to improve engineering velocity.
  • Solid foundation and real-world experience in network engineering

Skills

Required:Infrastructure managementCloud platformsKubernetesCI/CDInfrastructure as codeMonitoring and incident responsePlatform collaborationNetworking
Last updated Aug 5, 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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