TensorWave

TensorWave

Operations Engineer

Las Vegas, Nevada · Contract

Sponsorship not specifiedDetected 134 days ago
PythonBashNode.jsCloud PlatformsKubernetesLinuxPrometheusGrafanaDatadogMachine LearningJiraCustomer SupportTCP/IPDNSCiscoCommunicationCollaboration

About the role

  • We're looking for an Operations Engineer to join our team during an exciting phase of growth.
  • This is an on-site role operating on a rotating 12-hour shift schedule (days OR nights), with alternating 3-day and 4-day work weeks.

Responsibilities

  • Maintain situational awareness of active customer workloads, scheduled maintenance windows, and known issues across the fleet
  • Maintain accurate incident records including timeline, actions taken, and resolution details in the ticketing system
  • Document tribal knowledge, recurring issue patterns, and lessons learned to strengthen the team's operational knowledge base
  • Support change management processes by monitoring customer environments during planned maintenance and infrastructure changes

Requirements

  • 1-3 years of experience in a NOC, operations center, technical support, systems administration, or similar infrastructure operations role
  • Experience monitoring production infrastructure using observability tools (Grafana, Datadog, Prometheus, or similar)
  • Foundational Linux systems administration skills with the ability to navigate systems, read logs, and execute diagnostic commands
  • Experience following operational runbooks and structured triage procedures in a production environment
  • Strong written communication skills, particularly the ability to write clear incident updates and escalation summaries under time pressure
  • Demonstrated ability to stay calm, prioritize effectively, and work methodically during high-pressure situations
  • Familiarity with ticketing and incident tracking systems (PagerDuty, Jira, ServiceNow, or similar)
  • Ability to work a rotating 12-hour shift schedule (8AM-8PM or 8PM-8AM), alternating between 3-day and 4-day work weeks on a repeating cycle

Nice to have

  • Experience in a customer-facing operations role at a cloud provider, managed services provider, or colocation facility
  • Exposure to GPU infrastructure, HPC clusters, or AI/ML compute environments
  • Familiarity with Kubernetes concepts and basic container troubleshooting
  • Scripting ability in Python, Bash, or similar for basic automation and log analysis
  • Experience with high-performance networking concepts (RDMA, InfiniBand, or RoCE)
  • Background working across multiple geographically distributed data center sites
  • Relevant certifications (CompTIA Server+, Linux+, RHCSA, CCNA, or equivalent)
  • Life and Voluntary Supplemental Insurance Options

Benefits

  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • Parental Leave
  • Other In-Office Perks
  • Track key health indicators including GPU utilization, node availability, network performance, storage health, and Kubernetes cluster status
  • Provide regular health summaries and flag trends that may indicate systemic risks to customer environments
  • Assist with monitoring and alerting tuning by providing feedback on alert quality, false positive rates, and coverage gaps
  • shift schedules including nights, weekends, and holidays as part of a 24/7 coverage model

Company info

  • deliver seamless, secure, reliable, and resilient AI compute at scale.
  • We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack.
  • Because breakthrough AI should move at the speed of ideas, not infrastructure.

Equal opportunity

  • TensorWave is an Equal Opportunity Employer.
  • We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • We do not discriminate on the basis of any protected status under applicable law.
  • Reasonable Accommodations

This listing is sourced directly from TensorWave's careers page and normalized into a canonical job model.