Senior Storage Engineer

🕒 il y a 3 mois

🤠 Texas – Distant

🤠 Texas – Remote

⏰ Temps Plein

🟠 Senior

🔙 Ingénieur Back-end

👻 Score fantôme 25%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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IREN

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201 - 500 employés

🤖 Intelligence artificielle

🤝 B2B

⚡ Énergie

Artificial Intelligence • B2B • Energy

IREN est un fournisseur de centres de données AI de haute performance et sur mesure, ainsi que de services de cloud GPU à travers l'Amérique du Nord. IREN développe, possède et exploite de grands centres à forte densité énergétique, conçus pour les exigences élevées en matière de formation et d’inférence de l’intelligence artificielle, offrant des solutions clés en main de centres de données, de colocation pour le matériel client, et un accès cloud géré aux GPU. L'entreprise met l'accent sur l'intégration verticale, l'assistance sur site 24/7, et l'alimentation de ses installations par une énergie 100 % renouvelable (y compris les RECs). IREN répertorie actuellement six sites en Amérique du Nord (y compris Sweetwater, Childress, Oklahoma, Prince George, Mackenzie, et Canal Flats), avec une capacité énergétique sécurisée d'environ 5 GW, plusieurs centaines à des milliers de MW par site dans les étapes opérationnelles, en construction et en développement, et environ 4 900 acres de terrains sécurisés pour l'infrastructure AI.

Description

• Design, build and commission high-performance storage systems that serve large GPU compute clusters, ensuring storage architecture meets the throughput and latency demands of AI training and inference workloads. • Own the full operational lifecycle of storage infrastructure from initial deployment through day-to-day performance management, capacity growth and end-of-life planning. • Manage and maintain storage networking fabrics connecting storage systems to GPU compute, ensuring the interconnect is never the bottleneck. • Evaluate new storage hardware, software and approaches as the technology landscape evolves and IREN's footprint grows. • Monitor storage system health, performance and capacity continuously; define meaningful thresholds and act on them before they become incidents. • Tune storage systems for the specific I/O patterns of AI workloads and document what works. • Plan and manage storage capacity proactively, working across teams to anticipate demand ahead of new cluster deployments. • Maintain high availability across storage tiers; design and validate resilience mechanisms so that single points of failure are understood and mitigated. • Diagnose and resolve storage incidents with urgency. • Conduct thorough root cause analysis following significant incidents; produce clear write-ups and implement changes that prevent recurrence. • Participate in on-call rotation to provide coverage for storage-related production issues; act as the escalation point for storage during major incidents. • Work closely with technology and operations teams on new cluster builds, ensuring storage is ready and validated. • Produce and maintain technical documentation that is accurate and current. • Contribute to the technical evaluation of storage vendors and products; represent IREN's requirements clearly in vendor and partner conversations.

🎯 Exigences

• Seven or more years of hands-on storage engineering experience in production environments, with meaningful time spent operating storage at significant scale. • A track record of deploying, operating and troubleshooting storage systems that serve demanding compute workloads. • Experience working in or alongside data center environments; comfortable in the physical layer as well as the software layer. • Prior exposure to the specific demands of AI training and inference I/O patterns is a strong advantage. • Strong understanding of cloud platforms. • Deep, practical knowledge of at least one major parallel or distributed file system used in high-performance environments. • Strong written and oral communication skills and the ability to interact effectively with executive leadership, service providers and potentially members of the community • Superior time management and multitasking skills with a strong sense of urgency • Proven active listening and speaking skills • Post secondary education in Computer Science or a related field.

🏖️ Avantages

• Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive). • Relocation or Living-out-allowance / per diem (as appliable and based on successful candidate circumstances) • 100% company paid health insurance premiums(medical, dental, and vision)for employees, 75% company paid coverage for dependents • Company-paid short-term and long-term disability insurance • Voluntary life, critical illness, and accident coverage available • Health Savings Accounts (HSA) – when combined with the High Deductible Health Plan • Employee Assistance Program and wellness resources • 401(k) retirement plan with company match • Access to financial planning and legal services • Paid Time Off (PTO) and paid holidays • Internal skills training and advancement pathways • Professional development to support certifications, continuing education, or role related training • Company events and team-building activities

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