Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

At Crusoe Energy Systems, our Production Engineering team plays a mission-critical role in maintaining the performance, reliability, and scalability of our AI-optimized cloud infrastructure. As a Staff Storage Production Engineer, you will help lead the design, operation, and evolution of the storage systems that power Crusoe’s compute-intensive AI and HPC workloads. This role focuses on ensuring the availability, performance, and resilience of Crusoe’s cloud storage platform while driving long-term improvements in automation, reliability, and system architecture.

You will work across infrastructure, storage, and platform teams to build and operate distributed, fault-tolerant storage systems at scale. Your work will directly support Crusoe’s vertically integrated, sustainable cloud platform by enabling high-performance storage solutions for large-scale GPU clusters and latency-sensitive AI workloads.

What You'll Be Working On:

In this role, you will design and build automation and self-healing systems that improve the reliability and operability of Crusoe’s distributed cloud storage infrastructure, including block, file, and object storage systems. You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms across large-scale production environments.

Working closely with storage and infrastructure engineers, you will help deploy and operate high-performance NVMe- and SSD-backed volumes that support large-scale AI compute clusters. You will also improve the reliability and performance of user-facing storage services by driving improvements in availability, performance tuning, and adherence to SLOs and error budgets.

As a Staff engineer, you will contribute to the long-term architecture of Crusoe’s storage platform, influencing the design of scalable and fault-tolerant storage backends tailored for AI-first cloud environments. You will lead complex incident investigations using deep telemetry, logs, and performance analysis, while partnering with hardware and kernel teams to diagnose low-level I/O issues and optimize I/O paths, cache policies, and file systems. You will also help drive operational best practices, reliability strategy, and automation across the storage platform.

What You’ll Bring to the Team:

• 8+ years of professional experience in Storage SRE, Production Engineering, Systems Engineering, Storage Engineering, or similar roles

• Hands-on experience with distributed storage systems (e.g., Ceph, GlusterFS, OpenEBS) and deep understanding of object, block, and file storage paradigms

• 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, particularly I/O subsystems, memory management, and storage scheduling

• Familiarity with storage protocols such as NFS, SMB, iSCSI, or NVMe-oF

• Strong experience working with containerized workloads and orchestration platforms (Kubernetes, Docker)

• Excellent incident response, troubleshooting, and documentation practices

• Experience building and operating large-scale managed storage services (object, file, or block storage) across AWS, GCP, or Azure

• Strong communication and cross-team collaboration skills

• Ability to pass a background check

• Embody the company values

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 Range:

Compensation will be paid in the range of $209,000 – $253,000 per year + 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, color, 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.