Site Reliability Engineer
Crusoe is an active AI-infrastructure company operating an AI cloud platform, managed AI services, and AI data-center infrastructure.
Projects
About Crusoe, Inc.
Crusoe designs, builds, and operates energy-first AI infrastructure. Its offerings include Crusoe Cloud for GPU-based training, fine-tuning, inference, and managed services, alongside AI-optimized data centers and energy infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and operate reliable managed AI services focused on serving and scaling LLM workloads. You will build automation and reliability tooling, define and improve SLIs/SLOs, optimize training and inference clusters with other teams, build observability, troubleshoot distributed AI systems, and contribute to system architecture.
Requirements
- Strong software engineering background building production-grade systems beyond scripting or Bash
- Demonstrated experience in distributed systems design and implementation
- Hands-on work with LLMs or AI/ML infrastructure
- SRE experience including SLIs/SLOs, monitoring and observability, performance and reliability improvements, fault-tolerant systems and automated testing
- Proficiency in at least one modern language (Python, Go, Java, C++)
- Deep working knowledge of Kubernetes
- Strong collaboration and communication skills
- Ability to thrive in a fast-paced, mission-driven environment
Responsibilities
- Design and operate reliable managed AI services focused on serving and scaling LLM workloads
- Build automation and reliability tooling for distributed AI pipelines and inference services
- Define, measure and improve SLIs/SLOs across AI workloads
- Collaborate with AI, platform and infrastructure teams to optimize training and inference clusters
- Automate observability with telemetry and performance tuning for latency-sensitive AI services
- Investigate and resolve reliability issues using telemetry, logs and profiling
- Contribute to the architecture of next-generation distributed systems for AI
Benefits
- Competitive benefits package tailored to local market standards
- Pension contributions