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Customer Reliability Engineer

Job not on LinkedIn

đŸ”„ 12 hours ago

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

đŸ‘» Ghost score 10%

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Logo of Andromeda

Andromeda

11 - 50 employees

đŸ„ Healthcare

đŸ’Œ Consulting

🏹 Hospitality

💰 $15.1M Series A - Andromeda Robotics on 2025-09

Healthcare ‱ Consulting ‱ Hospitality

Andromeda is a GPU compute service and marketplace offering instant access to large clusters of H100, H200, and B200 accelerators for experiments, full-scale training, and inference. It supports orchestration with Slurm, Kubernetes, or direct SSH, provides flexible, no-minimum-duration usage and competitive pricing, and includes DevOps expertise, local NAS or streamed storage with no ingress/egress fees, and 24/7 support with industry SLAs. The company also operates a third-party GPU marketplace at gpulist. ai.

📋 Description

‱ Own customer issues from reproduction through diagnosis, resolution or escalation, and closure ‱ Debug Linux issues involving processes, networking, storage, kernel logs, resource contention, systemd, and journald ‱ Investigate Kubernetes issues including pending or crash-looping pods, node conditions, scheduling failures, and resource limits ‱ Troubleshoot GPU failures including driver and device-plugin issues, XID errors, thermal throttling, cordoning or draining nodes, and multi-node job failures ‱ Escalate issues with gathered evidence when necessary ‱ Participate in a 24/7 on-call rotation ‱ Respond first to alerts and customer-reported outages, assess impact, set severity, and involve appropriate personnel ‱ Keep customers updated during incidents with clear status and known unknowns ‱ Document incidents and convert learnings into runbooks, alerts, or fixes ‱ Determine whether faults are provider-side, Andromeda-side, or customer-side ‱ Open and follow up on tickets with compute providers ‱ Track recurring provider failures and report patterns to sourcing decision-makers ‱ Write Python or Bash automation for manual checks ‱ Build and improve cluster and node health monitoring, GPU telemetry, dashboards, and actionable alerts ‱ Maintain current runbooks and customer documentation

🎯 Requirements

‱ Real Linux troubleshooting ability from the command line, including logs, processes, networking, and disk ‱ Working knowledge of Kubernetes, including pods, nodes, deployments, services, scheduling, and investigation of failures ‱ Ability to write Python or Bash scripts to automate repetitive tasks ‱ Strong technical writing and ability to explain problems clearly to customers ‱ Good judgment under pressure, including prioritization, escalation, and communication ‱ Willingness to join a 24/7 on-call rotation ‱ Strong candidates may have hands-on NVIDIA GPU production experience with drivers, CUDA, DCGM, and the Kubernetes device plugin ‱ Strong candidates may have high-performance networking experience with InfiniBand, RoCE, or NCCL ‱ Strong candidates may have HPC or Slurm experience ‱ Strong candidates may have previous customer-facing technical experience in support engineering, TAM, solutions, or professional services ‱ Strong candidates may have knowledge of Prometheus, Grafana, Datadog, or similar tools ‱ Strong candidates may have Infrastructure as Code experience with Terraform, Ansible, or Helm ‱ Genuine interest in AI infrastructure and large training jobs

đŸ–ïž Benefits

‱ Meaningful equity ‱ Healthcare, dental, and vision coverage for employees and dependents ‱ 401(k) ‱ Unlimited PTO ‱ High-growth environment at a company centered on the AI infrastructure boom

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