Crusoe

Tech / AI / Software

SeniorProductionEngineer,OeprationalExcellence

$172–209k san francisco, california, united states FULL TIME
The Brief

“Senior Production Engineer, Oeprational Excellence at Crusoe. Skills: Production Engineering, SRE, large-scale infrastructure operations, GPU workloads support, HPC environments support, Linux/Unix systems debugging, cloud infrastructure fundamentals, Kubernetes, distributed systems, monitoring and observability tools, infrastructure-as-code, scripting or programming. ensure the reliability, scalability, and performance of Crusoe’s GPU cloud. strengthen the operational foundation of Crusoe’s clo”

Industry & Context.

Tech / AI / Software
Problems you'll solve

problem-solving; solving complex production problems; debugging complex issues; troubleshooting complex issues

Eligibility Requirements

Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments

What They're Looking For.

Must Have

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, 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 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++, 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 interest in reliability engineering, automation, and operational excellence

Nice to Have

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

What You'll Do.

ensure the reliability

and performance of Crusoe’s GPU cloud

strengthen the operational foundation of Crusoe’s cloud

scale infrastructure that supports demanding AI and HPC workloads

improve system reliability

reduce operational toil

drive continuous improvements across Crusoe’s rapidly growing GPU cloud

define and evolve availability metrics for Crusoe’s cloud platform

and improve SLIs and SLOs

participate in production incident response

contribute to post-incident reviews and root cause analysis

and improve observability across Crusoe’s infrastructure

identify reliability risks

performance bottlenecks

and early indicators of potential production issues

develop automation and tooling that reduces operational toil

improves recovery times

and enables self-healing infrastructure

and platform teams to strengthen service resilience and disaster recovery capabilities

contribute to improving operational processes

and reliability best practices

How You'll Work.

Team & Collaboration

Collaborate with cross-functional teams; partner closely with Production Engineers, infrastructure teams, and platform engineers; partner with compute, networking, storage, and platform teams; collaborate across engineering teams

Communication Scope

communication skills and the ability to collaborate across engineering teams

Process & Methodology

incident management practices

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