GPU Infrastructure NOC Engineer

Pay: $75,000.00 - $140,000.00 per year

Why This Is a Great Opportunity

• Monitor and support cutting-edge GPU and AI infrastructure powering demanding enterprise workloads.
• Go beyond traditional NOC monitoring by building automation, improving tooling, and making operations smarter.
• Get hands-on exposure to GPU, HPC, networking, data center infrastructure, and AI-enabled operations.
• Play a direct role in protecting customer uptime and meeting demanding SLA commitments.
• Help create and continuously improve runbooks, SOPs, monitoring processes, and incident-response workflows.
• Work alongside technical teams, OEMs, data center operators, and network providers to solve real infrastructure problems.
• Join a fast-growing environment where your ideas can directly improve how the NOC operates.
• Receive bonus and equity opportunities in addition to competitive base compensation.

Location: Remote nationwide. This is a fully remote role supporting a 24/7 global operations environment through rotating shifts, including nights and weekends.

Note: Must have 2+ years of NOC, network operations, or infrastructure monitoring experience, hands-on GPU or HPC infrastructure experience, and Python or Bash scripting experience. Candidates must be willing to work rotating 24/7 shifts, including nights and weekends. These are hard requirements.

About Us

We are building next-generation AI infrastructure designed to give enterprise customers fast, flexible access to high-performance GPU compute. Our operations team plays a critical role in keeping these environments reliable, responsive, and continuously improving. Confidential Employer.

Job Description

• Monitor live GPU cluster health, power, cooling, networking, and infrastructure status across production deployments.
• Triage, troubleshoot, and resolve incidents while maintaining SLA requirements.
• Identify infrastructure issues early and take proactive action before they become customer-impacting incidents.
• Escalate appropriate issues to OEMs, data center operators, network providers, or other Tier 3 partners.
• Build and improve internal monitoring tools, scripts, and automation to reduce repetitive manual work.
• Use Python, Bash, or similar scripting tools to automate monitoring, triage, reporting, and operational workflows.
• Explore and implement AI-enabled workflows that improve NOC speed, accuracy, and efficiency.
• Create, maintain, and continuously improve technical runbooks and standard operating procedures.
• Participate in incident reviews and turn recurring problems into permanent tooling, process, or automation improvements.
• Track SLA and incident metrics and identify opportunities to improve reliability and response times.
• Communicate clearly and proactively with customers and internal stakeholders during incidents.
• Coordinate with data center operators, OEMs, network providers, and other third parties to resolve customer-impacting issues.
• Support a 24/7 rotating operations schedule, including nights, weekends, and other assigned shifts.

Qualifications

• 2+ years of experience in a NOC, network operations, infrastructure monitoring, or related technical operations environment.
• Direct experience supporting or monitoring GPU, HPC, AI infrastructure, or comparable high-performance computing environments.
• Hands-on Python or Bash scripting experience.
• Experience with infrastructure monitoring and alerting tools such as Datadog, Grafana, PagerDuty, or similar platforms.
• Strong troubleshooting and incident-response skills.
• Experience working with network, compute, storage, or data center infrastructure.
• Ability to understand technical issues quickly and communicate effectively during incidents.
• Demonstrated interest in automation, scripting, tool-building, and continuous operational improvement.
• Must be comfortable working rotating 24/7 shifts, including nights and weekends.
• Ability to work independently in a remote environment while collaborating effectively with global technical teams.
• Additional languages beyond English are a plus.

Why You Will Love Working Here

• Work directly with advanced GPU and HPC infrastructure rather than generic IT systems.
• Build technical depth across AI compute, networking, data centers, monitoring, and automation.
• Have a voice in how the NOC operates and help improve processes rather than simply following them.
• Work with modern monitoring, automation, and AI-enabled operations tools.
• Gain exposure to complex enterprise infrastructure and high-availability environments.
• Remote nationwide flexibility with multiple shift options.
• Medical, dental, and vision insurance.
• 401(k).
• Paid maternity and paternity leave.
• Bonus and equity opportunities.

JPC-1916

Benefits:

• Dental insurance
• Paid time off
• Retirement plan
• Vision insurance

Requirements: Must-have: remote nationwide. 2+ yrs NOC, network ops, or infrastructure monitoring exp, Must accept 24/7 rotating shifts, including nights/weekends (Y/N hard deal break), must have GPU/HPC exp. Must have Python/Bash exp

• Required Years as Associate: 2+

• Additional context: Relocation- [no]. Packages - [no]

Submission Email / Name: submissions are via Slack c/o Dil-Nash-Nina

Quick Recruiter Reference

Monitor and support live GPU/HPC clusters in a 24/7 NOC while handling incidents, SLA performance, automation, and runbook improvements. Must have 2+ years NOC/network/infrastructure monitoring, GPU/HPC experience, and Python or Bash. Must accept rotating nights/weekends.

Recruiter Submission: To submit, cancel - GPU Infrastructure NOC Engineer - Axe Compute - JPC-1916 - source

New Job Order Alert

• Client job title: GPU Infrastructure NOC Engineer

• Location: Nationwide

• On-site, hybrid, remote: Remote

• Experience: 2+

• Good fit job titles/keywords for candidates: NOC Engineer, NOC Analyst, Network Operations Engineer, Infrastructure Operations Engineer, GPU NOC, HPC Operations, GPU Infrastructure Engineer, AI Infrastructure Engineer, Systems Operations, SRE, Data Center Operations, Python, Bash

• # of hires needed: 1