Site Reliability Engineer

About the Role:
At Crusoe, our Site Reliability Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for a Staff Site Reliability Engineer with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers.

What You’ll Work On:

• Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads
• Build automation and reliability tooling to support distributed AI pipelines and inference services
• Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met
• 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 AI services
• Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling
• Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments

What You’ll Bring:

• Strong software engineering background — experience building production-grade systems beyond scripting or Bash
• Demonstrated experience in distributed systems design and implementation
• Hands-on work with large language models (LLMs) or AI/ML infrastructure
• SRE mindset and experience (whether or not under the SRE title) including:
• Defining and measuring SLIs/SLOs
• Building monitoring and observability systems
• Driving performance and reliability improvements
• Designing fault-tolerant systems and automated testing strategies
• Proficiency in at least one modern programming language (Python, Go, Java, C++)
• Deep working knowledge of Kubernetes (cluster architecture, networking, scheduling, and workload management)
• Strong collaboration and communication skills
• Ability to thrive in a fast-paced, mission-driven environment

Bonus Points:

• Experience scaling inference or training workloads for LLMs

Benefits:

Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being. Our benefits are tailored to local market standards and include core offerings such as pension contributions and additional perks to support work-life balance.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.