Senior Storage Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, develop, and implement high-performance storage systems tailored for large GPU compute clusters, ensuring the storage architecture fulfills the throughput and latency requirements essential for AI training and inference tasks.

• Take ownership of the entire operational lifecycle of storage infrastructure, from initial deployment to daily performance management, capacity expansion, and end-of-life planning.

• Oversee and maintain storage networking fabrics that connect storage systems to GPU compute, ensuring that the interconnect remains a non-issue.

• Assess new storage hardware, software, and methodologies as the technology landscape evolves and IREN's footprint expands.

• Continuously monitor the health, performance, and capacity of storage systems; establish meaningful thresholds and proactively address issues before they escalate into incidents.

• Optimize storage systems for the unique I/O patterns associated with AI workloads and document effective strategies.

• Proactively plan and manage storage capacity, collaborating with teams to foresee demand ahead of new cluster deployments.

• Ensure high availability across storage tiers; design and validate resilience mechanisms to identify and mitigate single points of failure.

• Urgently diagnose and resolve storage incidents.

• Conduct comprehensive root cause analyses following significant incidents; create clear reports and implement changes to prevent future occurrences.

• Participate in on-call rotations to address storage-related production issues; serve as the escalation point for storage during critical incidents.

• Collaborate closely with technology and operations teams on new cluster builds, ensuring that storage is prepared and validated.

• Create and maintain technical documentation that is both accurate and up-to-date.

• Contribute to the technical assessment of storage vendors and products; clearly represent IREN's requirements in discussions with vendors and partners.

⛳️ Requirements

• A minimum of seven years of hands-on storage engineering experience in production environments, with substantial time spent managing storage at a significant scale.

• Proven experience in deploying, operating, and troubleshooting storage systems that cater to demanding compute workloads.

• Familiarity with data center environments; comfortable working in both the physical and software layers.

• Previous exposure to the specific requirements of AI training and inference I/O patterns is highly advantageous.

• Strong understanding of cloud platforms.

• In-depth practical knowledge of at least one major parallel or distributed file system utilized in high-performance environments.

• Excellent written and verbal communication skills, with the ability to effectively engage with executive leadership, service providers, and potentially community members.

• Exceptional time management and multitasking abilities, coupled with a strong sense of urgency.

• Demonstrated active listening and speaking skills.

• Post-secondary education in Computer Science or a related field.

🏝️ Benefits

• The Total Compensation package may include an annual incentive bonus and equity (long-term incentive).

• Relocation or living-out allowance / per diem (as applicable and based on the successful candidate's circumstances).

• 100% company-covered health insurance premiums (medical, dental, and vision) for employees, with 75% coverage for dependents.

• Company-paid short-term and long-term disability insurance.

• Availability of voluntary life, critical illness, and accident coverage.

• Health Savings Accounts (HSA) – available when combined with the High Deductible Health Plan.

• Access to the Employee Assistance Program and wellness resources.

• 401(k) retirement plan with company matching.

• Access to financial planning and legal services.

• Paid Time Off (PTO) and paid holidays.

• Opportunities for internal skills training and career advancement pathways.

• Professional development support for certifications, continuing education, or role-related training.

• Participation in company events and team-building activities.