Site Reliability Engineer, Managed AI
About The Position
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. 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 an SRE 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.
Requirements
- 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++)
- Familiarity with Kubernetes or container orchestration platforms
- Strong collaboration and communication skills
- Ability to thrive in a fast-paced, mission-driven environment
Nice To Haves
- Experience scaling inference or training workloads for LLMs
Responsibilities
- 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
Benefits
- Industry competitive pay
- Restricted Stock Units in a fast growing, well-funded technology company
- Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance, short-term and long-term disability
- Teladoc
- 401(k) with a 100% match up to 4% of salary
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
- Subscription to the Calm app
- MetLife Legal
- Company paid commuter benefit; $300 per month
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
