About This Role
Crusoe is building the most reliable, energy‑efficient, AI‑optimised cloud platform. Production Engineering sits at the heart of that mission. As a Production Engineer focused on Operational Excellence, you will help ensure the reliability, scalability, and performance of Crusoe’s GPU cloud that powers next‑generation AI workloads.
This role is ideal for engineers who enjoy solving complex production problems, improving large‑scale distributed systems, and building automation that keeps infrastructure running smoothly. You’ll play a key role in strengthening the operational foundation of Crusoe’s cloud while helping scale infrastructure that supports demanding AI and HPC workloads.
You’ll partner closely with Production Engineers, infrastructure teams, and platform engineers to improve system reliability, reduce operational toil, and drive continuous improvements across Crusoe’s rapidly growing GPU cloud.
What You’ll Be Working On
Collaborate with cross‑functional teams to define and evolve availability metrics for Crusoe’s cloud platform, including establishing, measuring, and improving SLIs and SLOs
Participate in production incident response, diagnosing and resolving service disruptions while contributing to post‑incident reviews and root cause analysis
Build, operate, and improve observability across Crusoe’s infrastructure using tools such as Prometheus, Grafana, Alertmanager, and OpenTelemetry
Identify reliability risks, performance bottlenecks, and early indicators of potential production issues across distributed systems
Develop automation and tooling that reduces operational toil, improves recovery times, and enables self‑healing infrastructure
Partner with compute, networking, storage, and platform teams to strengthen service resilience and disaster recovery capabilities
Contribute to improving operational processes, knowledge sharing, and reliability best practices across the engineering organisation
Continue growing technical depth through mentorship, training, and hands‑on work operating large‑scale AI infrastructure
What You’ll Bring to the Team
5+ years of experience in Production Engineering, SRE, or large‑scale infrastructure operations
Experience supporting GPU workloads, HPC environments, or latency/throughput‑sensitive distributed systems
Strong knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space
Previous experience in Infrastructure roles building or managing compute, storage or networking platforms
Understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)
Familiarity with incident management practices and reliability frameworks (SRE, ITIL, or similar)
Experience with monitoring and observability tools such as Prometheus and Grafana, or a strong desire to deepen expertise in this area
Familiarity with infrastructure‑as‑code and configuration management tools such as Terraform or Ansible
Scripting or programming experience with languages such as Go, Python, C, or C++
Strong communication skills and the ability to collaborate across engineering teams
Ability to remain calm and effective while troubleshooting complex issues in high‑impact production environments
A growth mindset and strong interest in reliability engineering, automation, and operational excellence
Bonus Points
Experience working with Kubernetes or container orchestration platforms at scale
Exposure to change management processes, operational readiness reviews, or structured root cause analysis
Experience designing self‑healing systems, automated remediation, or event‑driven operational tooling
Interest in scaling AI or HPC infrastructure and solving reliability challenges in GPU‑heavy environments
Passion for mentorship, learning, and developing deeper expertise in Production Engineering
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
Compensation
Compensation will be paid in the range of $172,000 – $209,000 + Bonus. Restricted Stock Units are included in all offers. Compensation will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, colour, 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.
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Senior Production Engineer, Core PE
Crusoe · Sunnyvale, CA, USA ·
- Pay:
- $172,000-$209,000/yr
- Job type:
- Full Time