Infrastructure Engineer

Maxana
San Francisco, CA

Maxana is seeking an experienced Infrastructure Engineer for a confidential client — a fast-growing AI company. In this role you will build and maintain the platform layer supporting large-scale ML training, inference, and deployment. This is a high-impact role at the intersection of cloud infrastructure and ML systems.

Key Responsibilities

  • Build and maintain infrastructure supporting large-scale ML training and inference workloads
  • Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms
  • Improve reliability, observability, and performance across the platform layer
  • Collaborate directly with senior engineers and product teams on architecture decisions
  • Own production reliability — monitoring, incident response, and proactive risk reduction
  • Develop and maintain internal tooling and automation to support engineering operations

Requirements

  • 5+ years of infrastructure or platform engineering experience in a production environment
  • Strong distributed systems background — experience with large-scale compute workloads preferred
  • Cloud-native infrastructure experience — AWS, GCP, or Azure; Docker and Kubernetes required
  • Familiarity with ML infrastructure a strong plus — training pipelines, inference serving, GPU workloads
  • Experience owning production reliability end to end

Benefits

  • Competitive base salary ($130,000-$240,000) + equity
  • Medical, dental, and vision
  • Flexible paid time off
  • Learning and development stipend
  • Working at the forefront of AI infrastructure at scale
Posted 2026-03-25

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