Crusoe

Crusoe

Senior Production Engineer, Storage

Sunnyvale, CA - US · Senior

Sponsorship not specified$170k-$205kDetected 6 hours ago
PythonJavaGoAWSGCPAzureCloud PlatformsDockerKubernetesTerraformAnsibleLinuxSite Reliability EngineeringIncident ResponseEMI/EMCElectrical EngineeringProblem Solving

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37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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About the role

  • At Crusoe Energy Systems, our Site Reliability Engineering (SRE) team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure.
  • The Storage-focused SRE role is responsible for ensuring the availability, performance, and scalability of Crusoe's cloud storage products and services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases.
  • Your responsibilities will also include supporting user-facing storage services with a focus on availability, performance tuning, and adherence to error budgets.

Responsibilities

  • You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms.
  • Collaborating closely with storage engineers, you will help implement and maintain high-performance NVMe- and SSD-backed volumes that support large-scale AI compute clusters.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
  • Deep, hands-on experience with enterprise storage platforms such as Pure Storage or EMC - not limited to volume creation/provisioning, but a working understanding of how the systems are architected and operated
  • Proficiency in a programming language such as Go, Python, Java, or C
  • Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet
  • Deep knowledge of Linux internals with a focus on I/O subsystems, memory management, and storage scheduling
  • Familiarity with storage protocols like NFS, SMB, iSCSI, or NVMe-oF
  • Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure)

Nice to have

  • Hands-on experience with distributed storage systems (e.g., Ceph, GlusterFS, OpenEBS, Vast, Lightbits)
  • Contributions to open-source storage projects or the Linux storage stack

Skills

  • Crusoe is on a mission to accelerate the abundance of energy and intelligence.
  • The demand for AI compute is boundless, and power is a bottleneck.

Compensation

  • Compensation will be paid in the range of $170,000 - $205,000 + Bonus.
  • Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
  • 401(k) with a 100% match up to 4% of salary

Benefits

  • 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
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement

Company info

  • 5+ years of professional experience in Storage SRE, systems, or storage engineering
  • Deep understanding of object, block, and file storage paradigms
  • Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker)
  • Excellent incident response, troubleshooting, and documentation practices

Equal opportunity

  • Crusoe is an Equal Opportunity Employer.

Visa & Work Authorization

  • Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran st

This listing is sourced directly from Crusoe's careers page and normalized into a canonical job model.