Job description

MEMBER OF THE TECHNICAL STAFF, PLATFORM Location: North America Remote / San Francisco, CA · Full-Time ABOUT ANDROMEDA Andromeda is a market and infrastructure platform to buy, sell, and operate compute. We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it. We believe every spare electron should be made productive for AI and we're building the platform that makes that possible. We sit at the center of three forces: - Companies that need reliable, high-performance compute fast - A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers - Capital, risk, and operational complexity that most teams are not equipped to manage When we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite. In five years, Andromeda won't just participate in the AI infrastructure market. We will shape it. THE ROLE We are looking for engineers to build and operate the control plane that runs our fleet. Your responsibilities will include: - The automated systems that take a cluster from bare machines to customer-ready - Machine lifecycle between tenants: join, wipe, verify, rejoin - Operating Kubernetes and Postgres across the fleet - Contributing to our custom Kubernetes operators - Scaling clusters from tens of nodes to thousands - Participating in on-call rotations REQUIREMENTS - Impressive technical work you can go deep on, with impact in the world. That can take three years or twenty. - 2+ years of on-call experience for critical production services - Deep Kubernetes experience - Strong Linux fundamentals: kernel, cgroups, containers, networking, storage - Experience operating databases, monitoring, CI/CD, and cloud infrastructure at scale - Familiarity with fleet management and capacity planning Prior experience writing operators, or with GPUs, HPC scheduling, or bare-metal hardware is nice to have, but not required. WHY YOU’LL LOVE IT HERE - High-growth environment: Get in early at a company at the center of the AI infrastructure boom - Competitive compensation: + meaningful equity - Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Requirements

Must-haves

Location: North America Remote / San Francisco, CA · Full-Time
We are looking for engineers to build and operate the control plane that runs our fleet. Your responsibilities will include:
The automated systems that take a cluster from bare machines to customer-ready
Machine lifecycle between tenants: join, wipe, verify, rejoin
Operating Kubernetes and Postgres across the fleet
Contributing to our custom Kubernetes operators
Scaling clusters from tens of nodes to thousands
Participating in on-call rotations
Impressive technical work you can go deep on, with impact in the world. That can take three years or twenty.
2+ years of on-call experience for critical production services
Deep Kubernetes experience
Strong Linux fundamentals: kernel, cgroups, containers, networking, storage
Experience operating databases, monitoring, CI/CD, and cloud infrastructure at scale
Familiarity with fleet management and capacity planning
High-growth environment: Get in early at a company at the center of the AI infrastructure boom
Competitive compensation: + meaningful equity

Nice-to-haves

Prior experience writing operators, or with GPUs, HPC scheduling, or bare-metal hardware is nice to have, but not required.

Application prep

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Keywords to mirror

aikubernetespostgresgoci/cd

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto