Staff Site Reliability Engineer - AI Infrastructure

About the role

Crusoe is an AI infrastructure company that owns and operates every layer of its stack, from hardware to cloud services. Its Site Reliability Engineering team ensures the reliability and scalability of its AI-optimized cloud platform. It is looking for a Staff Site Reliability Engineer with a strong background in distributed systems and hands-on experience with large language models to help build and operate managed AI services at scale.

Key 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
• Work with AI, platform and infrastructure teams to optimize large-scale training and inference clusters
• Build telemetry and performance tuning strategies for latency-sensitive AI services
• Resolve reliability issues using telemetry, logs and profiling
• Contribute to the architecture of next-generation distributed systems for AI-first environments

Required profile

• 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 mindset: defining SLIs/SLOs, building observability, driving reliability improvements, designing fault-tolerant systems and automated testing
• Strong collaboration and communication skills; ability to thrive in a fast-paced, mission-driven environment

Required skills

• Proficiency in at least one modern programming language (Python, Go, Java, C++)
• Deep working knowledge of Kubernetes (cluster architecture, networking, scheduling, workload management)
• Bonus: experience scaling inference or training workloads for LLMs

What we offer

• A competitive benefits package covering pension contributions and other perks supporting work-life balance