Senior Production Engineer, Storage

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.

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. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant storage systems at scale.

In this role, you will build automation and self-healing tools to monitor and maintain Crusoe's distributed cloud storage infrastructure, which includes block, file, and object storage systems. 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. Your responsibilities will also include supporting user-facing storage services with a focus on availability, performance tuning, and adherence to error budgets. You'll investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling, while also partnering with hardware and kernel teams to diagnose low-level I/O issues and optimize I/O paths, cache policies, and file systems. Additionally, you will contribute to the architecture of fault-tolerant, scalable storage backends tailored for AI-first cloud environments.

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience

• 5+ years of professional experience in Storage SRE, systems, or storage engineering

• 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

• 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 with a focus on I/O subsystems, memory management, and storage scheduling

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

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

• Excellent incident response, troubleshooting, and documentation practices

• Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure)

• 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

• Experience with hybrid storage models across on-prem and cloud environments