Andromeda
Customer Reliability Engineer
About this role
Andromeda is seeking a Site Reliability Engineer to provision, operate, and optimize Kubernetes-based AI infrastructure clusters across multiple cloud providers. You'll build automation tooling, debug complex system issues, and lead incident response for a platform that routes training and inference jobs globally.
What you'll do
- Provision and configure Kubernetes clusters for customers across multiple providers
- Build automation and tooling to streamline cluster deployments and integrations
- Debug customer issues spanning networking, storage, scheduling, and system layers
- Design and implement monitoring, alerting, and observability systems for critical infrastructure
- Lead on-call rotations, incident response, and reliability postmortems
- Collaborate with engineering and product teams on infrastructure planning for new services
What they're looking for
- Kubernetes and container orchestration at scale
- Linux systems and networking fundamentals
- Infrastructure-as-Code tools (Terraform, Helm, Ansible)
- Scripting and automation (Python, Go, or Bash)
- Observability stacks (Prometheus, Grafana, Loki, Datadog)
- Production systems operations and incident response
- ML/AI infrastructure experience (CUDA, Slurm, Triton) - preferred
- High-performance networking or distributed storage - preferred
Benefits
- Ownership and autonomy in shaping system reliability and scalability
- Direct collaboration with customers and infrastructure providers
- Work on foundational AI compute infrastructure
- Global remote or San Francisco office options
- Full-time position
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Andromeda
Andromeda is an AI infrastructure startup that builds hardware and software platforms for large-scale AI training and inference, operating a compute marketplace that routes jobs across multiple cloud providers. The company is hiring Solutions Engineers, Site Reliability Engineers, and Infrastructure Platform Engineers to deliver customer solutions, manage Kubernetes clusters, and design core orchestration systems.
View all jobs at AndromedaLikely interview questions
- Walk us through your experience operating Kubernetes clusters at scale — what were the biggest reliability challenges you faced and how did you solve them?
- Describe a production incident you led the postmortem on. What went wrong, how did you debug it, and what systemic changes did you implement to prevent recurrence?