Infrastructure-as-a-Service Lead

FluidStack Inc.

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Full Job Description

📋 Description

• Lead the IaaS team delivering compute to customers: provisioning, isolation, and lifecycle across the fleet.
• Own the platform layer between bare metal and customer workloads: images, networking, and storage integration.
• Build self-service capability so customer onboarding shrinks from weeks to hours.
• Set platform SLOs and the engineering priorities that hold them.
• You've led teams building IaaS or cloud platform layers.
• You've designed multi-tenant isolation that customers trusted with real workloads.
• You've cut onboarding or provisioning time by an order of magnitude somewhere, and can say how.
• You balance platform roadmap against operational load honestly.
• Bonus: Bare-metal provisioning. GPU virtualization and passthrough. Kubernetes. Cloud networking.

🎯 Requirements

• You've led teams building IaaS or cloud platform layers.
• You've designed multi-tenant isolation that customers trusted with real workloads.
• You've cut onboarding or provisioning time by an order of magnitude somewhere, and can say how.
• You balance platform roadmap against operational load honestly.

🏖️ Benefits

• We are committed to pay equity and transparency.
• Fluidstack is an Equal Employment Opportunity Employer.
• IMPORTANT CATEGORIZATION:
• This job posting is categorized as 'Engineering' with a subcategory of 'DevOps & SysAdmin' due to the role's focus on infrastructure-as-a-service and cloud platform layers.
• IMPORTANT LOCATION EXTRACTION:
• city: San Francisco
• region: CA
• country_code: US
• is_remote: false

Skills & Technologies

Kubernetes

DevOps

Senior

Onsite

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FluidStack Inc.

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About FluidStack Inc.

FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.

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