Senior AI Infra & Cloud Reliability Engineer

US Health Partners, LLC

Sunnyvale (CA)

On-site

USD 170,000 - 205,000

Full time

14 days+

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Benefits offered by this job

Restricted Stock Units
Health insurance
401(k) with match
Parental leave
Teladoc
Tuition reimbursement
Commuter benefit
Paid time off

Job summary

Crusoe is seeking a Senior Production Engineer to strengthen distributed AI infrastructure across cloud services. You will design and operate reliable AI services, focusing on scalable training/inference clusters and latency-sensitive workloads.

You will contribute to the architecture of AI-first environments and ensure cost-efficient operations. Join a fast-paced, energy-conscious team delivering high availability and observability through telemetry and testing, while collaborating with

Qualifications

  • Production-grade systems experience beyond scripting
  • Strong distributed systems design experience
  • SRE mindset with monitoring and reliability focus

Responsibilities

  • Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads
  • Define, measure, and improve SLIs/SLOs across systems to ensure performance and reliability targets
  • Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters
  • Automate observability by building telemetry and performance tuning strategies for latency-sensitive services
  • Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling
  • Contribute to the architecture of next-generation distributed systems for AI-first environments

Skills

Programming languages
Distributed systems
Kubernetes
SRE practices
Observability

Job description

Crusoe is seeking a Senior Production Engineer to strengthen distributed AI infrastructure across cloud services. You will design and operate reliable AI services, focusing on scalable training/inference clusters and latency-sensitive workloads.

You will contribute to the architecture of AI-first environments and ensure cost-efficient operations. Join a fast-paced, energy-conscious team delivering high availability and observability through telemetry and testing, while collaborating with

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