Site Reliability Engineer • Senior

Who you are

You have a strong background in distributed systems and have hands-on experience with large language models — you've designed and operated reliable managed AI services that scale effectively. Your expertise in automation allows you to build reliability tooling that supports distributed AI pipelines and inference services, ensuring high performance and availability.

You are skilled in defining, measuring, and improving SLIs/SLOs across AI workloads — you understand the importance of meeting performance and reliability targets and have a track record of collaborating with cross-functional teams to optimize large-scale training and inference clusters. Your ability to automate observability through telemetry and performance tuning strategies is a key asset in your role.

What you'll do

In this role, you will design and operate reliable managed AI services with a focus on serving and scaling LLM workloads — your work will directly impact the performance of compute-intensive, latency-sensitive workloads for customers. You will build automation and reliability tooling that supports distributed AI pipelines, ensuring that services are both efficient and resilient.

You will collaborate closely with AI, platform, and infrastructure teams to optimize the performance of large-scale training and inference clusters — your insights will help drive improvements in system reliability and efficiency. Investigating and resolving reliability issues will be a key part of your responsibilities, as you work to maintain the high standards expected of Crusoe's AI infrastructure.

What we offer

At Crusoe, you will be part of a mission-driven team that is at the forefront of the AI revolution — we are committed to creating sustainable technology that empowers ambitious creativity. You will have the opportunity to drive meaningful innovation and make a tangible impact in the field of cloud infrastructure. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.