Site Reliability Engineer
Crusoe · Tel Aviv - IL
Infrastructureonsitestaff
At a glance
Highlights
- Design and operate reliable managed AI services for LLM workloads at scale.
- Optimize large-scale training and inference clusters for performance.
- Architect next-gen distributed systems purpose-built for AI-first environments.
What they offer
- pension contributions
- work-life balance perks
Ideal candidate
Mission-driven engineer energized by large-scale AI infrastructure who thrives in fast-paced, ambiguous environments and loves collaborating to make latency-sensitive systems more reliable and performant.
Requirements
- Strong software engineering background building production-grade systems
- Demonstrated experience in distributed systems design and implementation
- Hands-on work with large language models or AI/ML infrastructure
- Experience defining and measuring SLIs/SLOs and building observability systems
- Proficiency in Python, Go, Java, or C++
- Deep working knowledge of Kubernetes
- Strong collaboration and communication skills
- Ability to thrive in fast-paced, mission-driven environment
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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