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Cirrascale Cloud Services

Public IaaS for AI, multi-GPU

Network Operations Technician 3

Network Engineering & AdministrationPosted on Nov 11
Full-timeAustin, TX, USA$37 - $42 /hrIn-person

About the Job

Requirements

  • Four to six years of experience in NOC, high-performance computing, AI infrastructure, cloud systems, or a related area.
  • Strong scripting skills in Python, Bash, or a similar language, with GPU monitoring experience.
  • Advanced troubleshooting experience in high-performance computing datacenter networking and GPU clusters.
  • Strong analytical, problem-solving, and organizational skills.
  • Strong written and verbal communication skills and customer-facing experience.
  • Familiarity with Jira ticketing, Microsoft 365 Suite, Slack, and Microsoft Teams.

Responsibilities

  • Respond to alerts and incidents involving systems, jobs, and GPU cluster failures.
  • Troubleshoot servers, GPU clusters, and network equipment at global datacenter locations.
  • Collaborate with NOC I and NOC II to resolve tickets.
  • Lead resolution efforts for complex and critical incidents and upgrades, escalating to the Supervisor as needed.
  • Assist customers with ticket triage and advanced troubleshooting using Jira (Atlassian).
  • Monitor system performance and analyze GPU cluster utilization.
  • Collaborate with Development Engineering to refine alerting and monitoring tools.
  • Document incidents, alerts, system updates, and configurations in alignment with NOC standards.
  • Standardize training to ensure consistency and reduce ad hoc onboarding tasks for other team members.
  • Support ongoing mentorship and coaching under the direction of the Supervisor.
  • Work closely with the Supervisor and NOC Manager to execute operational priorities and maintain team workflow.
  • Support process improvements, SOP updates, and documentation initiatives driven by the Supervisor or NOC Manager.
  • Act as a liaison between the NOC team and Engineering.

Desired Qualifications

  • Remote and hands-on experience with Linux Ubuntu 22.04 and 24.04 is preferred.
  • Advanced Linux, Kubernetes (CKA/CKAD), Docker, or AI/ML certifications are preferred.
  • Experience with SuperMicro, Lenovo, and Dell servers is strongly recommended.
  • Understanding of RMAs, logistics, shipping, and receiving is a plus.

About the Company

Cirrascale Cloud Services

Public IaaS for AI, multi-GPU

Cirrascale Cloud Services provides dedicated AI-focused cloud infrastructure (public and private bare-metal IaaS) with flat-rate monthly pricing and no data transfer fees. Its Cirrascale AI Innovation Cloud gives access to AI accelerators from NVIDIA, Cerebras, AMD, and Qualcomm, enabling development, training, fine-tuning, and deployment on high-performance hardware with fast networking and scalable storage, plus managed services for setup and access control. It differentiates itself by offering specialized multi-GPU/bare-metal cloud with predictable pricing and no data transfer fees for large-scale operators, startups, researchers, and Fortune 500 clients. The goal is to help customers build and run AI models quickly and at scale using ready-to-use infrastructure and optional hands-on management, reducing the need for in-house DevOps and hardware management.

Company size
51-200
Company stage
Early VC
Total funding
$59.1M
Headquarters
San Diego, CA
Founded
2010

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