Member of the Technical Staff - Platform

Andromeda Cluster, Inc

$130K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of on-call experience for critical production services
  • Deep knowledge of Kubernetes
  • Strong foundational skills in Linux, including kernel and networking
  • Experience with operating databases and CI/CD processes
  • Familiarity with fleet management and capacity planning
  • Ability to demonstrate impactful technical work, regardless of experience duration

Responsibilities

  • Build automated systems for converting bare machines into customer-ready clusters
  • Manage machine lifecycle for tenants including joining and wiping
  • Operate Kubernetes and Postgres across the fleet
  • Contribute to the development of custom Kubernetes operators
  • Scale clusters from tens to thousands of nodes
  • Rotate in on-call schedules to support critical operations

Benefits

  • Remote work flexibility in North America or option to be based in San Francisco
  • Opportunity to work on impactful and innovative engineering challenges
  • Collaborative team environment with exposure to cutting-edge technology
  • Participation in on-call support, enhancing operational experience
Full Job Description
Member of the Technical Staff, Platform

Location: North America Remote / San Francisco, CA • Full-Time

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.

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