Andromeda
Andromeda
Andromeda provides GPU compute for teams building and running machine learning workloads. Its service offers on-demand access to clusters of NVIDIA H100, H200, and B200 accelerators for experimentation, model training, and inference, with orchestration through Slurm, Kubernetes, or SSH. Customers can choose flexible usage and storage options, while Andromeda’s team provides DevOps support. The company also operates GPUList.ai, a third-party GPU marketplace. Its hiring context and team details are not specified in the available profile.

Senior Customer Reliability Engineer, Europe Remote

Troubleshoot customer incidents across Linux, Kubernetes, and GPU clusters, and help keep Andromeda’s AI compute infrastructure reliable. The role spans incident response, provider coordination, monitoring, and operational automation.

Apraksts

  • Manage customer issues from reproduction through resolution, escalation, and closure
  • Diagnose Linux problems involving processes, networking, storage, kernel logs, resource contention, systemd, and journald
  • Investigate Kubernetes failures involving pods, node conditions, scheduling, and resource limits
  • Troubleshoot GPU issues such as driver and device plugin failures, XID errors, thermal throttling, node cordoning or draining, and multi-node job failures
  • Escalate issues with supporting evidence when needed
  • Take part in a 24/7 on-call rotation
  • Respond to alerts and customer-reported outages, assess impact, assign severity, and engage the appropriate teams
  • Keep customers informed during incidents, including status and unresolved questions
  • Record incidents and turn findings into runbooks, alerts, or fixes
  • Identify whether faults originate with the provider, Andromeda, or the customer
  • Create and follow up on support tickets with compute providers
  • Monitor recurring provider failures and share patterns with sourcing decision-makers
  • Automate manual checks using Python or Bash
  • Develop and improve cluster and node health monitoring, GPU telemetry, dashboards, and actionable alerts
  • Keep runbooks and customer documentation up to date

Prasības

  • Hands-on Linux command-line troubleshooting, including logs, processes, networking, and disks
  • Working knowledge of Kubernetes pods, nodes, deployments, services, scheduling, and failure investigation
  • Ability to automate repetitive tasks with Python or Bash
  • Strong technical writing skills and the ability to explain issues clearly to customers
  • Sound judgment under pressure when prioritizing, escalating, and communicating
  • Willingness to join a 24/7 on-call rotation
  • NVIDIA GPU production experience with drivers, CUDA, DCGM, and the Kubernetes device plugin is an advantage
  • High-performance networking experience with InfiniBand, RoCE, or NCCL is an advantage
  • HPC or Slurm experience is an advantage
  • Customer-facing technical experience in support engineering, technical account management, solutions, or professional services is an advantage
  • Familiarity with Prometheus, Grafana, Datadog, or similar tools is an advantage
  • Infrastructure as Code experience with Terraform, Ansible, or Helm is an advantage
  • Interest in AI infrastructure and large-scale training jobs

Priekšrocības

  • Meaningful equity
  • Healthcare, dental, and vision coverage for employees and dependents
  • 401(k) plan
  • Unlimited paid time off
  • Opportunity to work in a high-growth company focused on AI infrastructure

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