Operations Engineer

About TensorWave

Our mission is simple: 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.

About the Role

We’re looking for an Operations Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for monitoring systems, executing runbooks, and coordinating with on-site teams and engineering when escalation is needed, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

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.

What You’ll Do

Monitor customer environments in real time across TensorWave data centers using monitoring and observability platforms

Track key health indicators including GPU utilization, node availability, network performance, storage health, and Kubernetes cluster status

Identify anomalies, degradations, and emerging issues before they escalate into customer-impacting events

Maintain situational awareness of active customer workloads, scheduled maintenance windows, and known issues across the fleet

Provide regular health summaries and flag trends that may indicate systemic risks to customer environments

Serve as the first responder to customer-reported issues and system-generated alerts, performing initial triage and classification

Execute established runbooks to diagnose and resolve common infrastructure issues including node failures, connectivity problems, and resource contention

Escalate issues to L2 engineering or on-site data center teams with clear, actionable context

Maintain accurate incident records including timeline, actions taken, and resolution details in the ticketing system

Communicate status updates to internal stakeholders during active incidents, ensuring visibility across operations and customer-facing teams

Follow and contribute to operational runbooks and standard operating procedures, identifying gaps or improvements based on real-world incidents

Assist with monitoring and alerting tuning by providing feedback on alert quality, false positive rates, and coverage gaps

Document tribal knowledge, recurring issue patterns, and lessons learned to strengthen the team’s operational knowledge base

Participate in post-incident reviews, contributing observations from the frontline monitoring and response perspective

Support change management processes by monitoring customer environments during planned maintenance and infrastructure changes

Coordinate with on-site data center operations teams for hands-on remediation activities that require physical access

Who You Are

Required Qualifications

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

Basic understanding of networking fundamentals including TCP/IP, DNS, and VLANs

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)

Willingness to work shift schedules including nights, weekends, and holidays as part of a 24/7 coverage model

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; candidates must be comfortable with either day OR night shifts as part of standard rotation.

Preferred Qualifications

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)

What We Offer

Stock Options

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

Life and Voluntary Supplemental Insurance Options

Other Insurance Options, such as Pet & Legal Insurance

Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

Flexible Spending Account

401(k)

Employee Assistance Program

Flexible PTO

Paid Holidays

Parental Leave

Other In-Office Perks

Equal Employment 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

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.