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Scale AIScale AI

Engineering Manager, Infrastructure

Leads an infrastructure engineering team responsible for scalable, secure, and reliable cloud and on-premises platforms supporting AI applications. The role combines people management, technical strategy, backend services, production reliability, and developer tooling.

About the job

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 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.

Requirements

  • At least 5 years of relevant experience and at least 2 years of experience managing infrastructure or platform teams.
  • Experience with cloud platforms such as AWS, Google Cloud, Azure, or OCI.
  • Experience with Kubernetes deployments on on-premises infrastructure.
  • Deep understanding of CI/CD pipelines, such as CircleCI and GitHub Actions.
  • Experience with infrastructure as code, such as Terraform.
  • Experience with container orchestration, including 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

AWS, GCP, Azure, Oci, Kubernetes, CircleCI, GitHub Actions, Terraform, CI/CD, Infrastructure As Code, Monitoring, Incident Response, Network Engineering, Slas/Slos, Backend Services

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