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Crusoe is building the most reliable, energy-efficient, AI-optimized cloud platform — and operational excellence is at the heart of that mission. As a Site Reliability Engineer focused on Operational Excellence, you will help ensure the stability, resilience, and performance of Crusoe’s GPU cloud. This role is ideal for engineers who thrive in fast-paced environments, enjoy solving operational problems, and want to grow their technical career while supporting incident response, reliability, and continuous improvement across a large-scale distributed platform. You’ll partner closely with senior SREs, infrastructure engineers, and platform teams to improve reliability, reduce operational toil, and strengthen Crusoe’s incident management practices.
Job Responsibility:
Collaborate with cross-functional teams to define and refine availability metrics for Crusoe’s cloud infrastructure, including establishing, tracking, and improving SLIs and SLOs
Assist in incident response by identifying, diagnosing, and resolving service disruptions, and support post-incident processes through RCA documentation and participation in post-incident reviews
Build, operate, and monitor infrastructure health using Crusoe’s observability stack (Prometheus, Grafana, Alertmanager, OpenTelemetry)
Identify and communicate reliability risks, performance bottlenecks, and early indicators of potential incidents that could impact service availability
Develop automation and tooling to reduce operational toil, minimize manual intervention, and enhance service recovery and self-healing capabilities
Partner with compute, network, storage, and platform teams to improve service resilience and strengthen disaster recovery readiness
Contribute to knowledge sharing, process improvements, and the development of operational best practices across the organization
Participate in ongoing training, mentorship, and professional development to grow into advanced SRE responsibilities
Requirements:
5+ years of experience in cloud operations, SRE, or related roles
Background working with GPU workloads, high-performance computing, or latency/throughput-sensitive systems
Strong knowledge of Unix/Linux systems (kernel/user space) and networking including debugging complex issues in live systems
Understanding of cloud platforms and infrastructure fundamentals (Kubernetes, AWS/GCP, virtualization, distributed systems)
Familiarity with incident management practices and operational frameworks (SRE/ITIL/etc.)
Experience with monitoring and alerting tools (Prometheus, Grafana) or a strong willingness to learn
Familiarity with infrastructure-as-code and configuration management tools such as Terraform and Ansible
Basic Scripting and automation experience (Go, Python, C, C++, or similar)
Strong communication skills, with the ability to clearly articulate technical issues to diverse stakeholders
Ability to stay calm, focused, and effective in fast-moving or high-pressure situations
A growth mindset with enthusiasm for operational excellence, reliability engineering, and continuous improvement
Nice to have:
Experience with Kubernetes, container orchestration, or large-scale distributed systems
Exposure to change management, operational readiness reviews, or structured RCAs
Familiarity with self-healing systems, automated remediation, or event-driven operations
Interest in scaling AI/HPC infrastructure and solving reliability challenges in GPU-heavy environments
Passion for learning, mentorship, and developing deeper SRE capabilities over time
What we offer:
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