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Engineering Manager, Infrastructure (AI)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Manager, Infrastructure (AI): Leading the deployment and operational health of AI-powered enterprise applications with an accent on scalability, security, and high-performance infrastructure. Focus on bridging the gap between AI research and production through automation, platform improvements, and robust Kubernetes orchestration.

Location: Based in the United States (referenced via US Department of Labor regulations)

Company

Scale AI is a leading AI data foundry accelerating the development of generative AI, defense applications, and autonomous vehicles to pave the road to AGI.

What you will do

  • Define and execute the infrastructure roadmap aligned with business and engineering priorities.
  • Lead the design and implementation of scalable, secure, and reliable infrastructure systems.
  • Manage, mentor, and drive technical delivery for the engineering team.
  • Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience.
  • Optimize backend services for advanced AI-driven applications, including AI agents and evaluation tooling.
  • Collaborate with product, security, and engineering leadership to align on goals and priorities.

Requirements

  • At least 5 years of relevant experience and 2+ years managing infrastructure or platform teams.
  • Proven experience with cloud platforms such as AWS, GCP, Azure, or OCI.
  • Experience with Kubernetes deployments on on-prem infrastructure.
  • Deep understanding of CI/CD pipelines (Circle CI, Github Actions) and Infrastructure-as-Code (Terraform).
  • Experience managing high-availability production environments with strict reliability and scalability requirements.
  • Solid foundation and real-world experience in network engineering.

Culture & Benefits

  • Inclusive and equal opportunity workplace committed to diversity.
  • Reasonable accommodations provided for applicants with physical and mental disabilities.
  • Opportunity to work on frontier data and AI systems powering the world's leading models.

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