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 platformsTrack key health indicators including GPU utilization, node availability, network performance, storage health, and Kubernetes cluster statusIdentify anomalies, degradations, and emerging issues before they escalate into customer-impacting eventsMaintain situational awareness of active customer workloads, scheduled maintenance windows, and known issues across the fleetProvide regular health summaries and flag trends that may indicate systemic risks to customer environmentsServe as the first responder to customer-reported issues and system-generated alerts, performing initial triage and classificationExecute established runbooks to diagnose and resolve common infrastructure issues including node failures, connectivity problems, and resource contentionEscalate issues to L2 engineering or on-site data center teams with clear, actionable contextMaintain accurate incident records including timeline, actions taken, and resolution details in the ticketing systemCommunicate status updates to internal stakeholders during active incidents, ensuring visibility across operations and customer-facing teamsFollow and contribute to operational runbooks and standard operating procedures, identifying gaps or improvements based on real-world incidentsAssist with monitoring and alerting tuning by providing feedback on alert quality, false positive rates, and coverage gapsDocument tribal knowledge, recurring issue patterns, and lessons learned to strengthen the team’s operational knowledge baseParticipate in post-incident reviews, contributing observations from the frontline monitoring and response perspectiveSupport change management processes by monitoring customer environments during planned maintenance and infrastructure changesCoordinate 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 roleExperience 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 commandsBasic understanding of networking fundamentals including TCP/IP, DNS, and VLANsExperience following operational runbooks and structured triage procedures in a production environmentStrong written communication skills, particularly the ability to write clear incident updates and escalation summaries under time pressureDemonstrated ability to stay calm, prioritize effectively, and work methodically during high-pressure situationsFamiliarity 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 modelAbility 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 facilityExposure to GPU infrastructure, HPC clusters, or AI/ML compute environmentsFamiliarity with Kubernetes concepts and basic container troubleshootingScripting ability in Python, Bash, or similar for basic automation and log analysisExperience with high-performance networking concepts (RDMA, InfiniBand, or RoCE)Background working across multiple geographically distributed data center sitesRelevant certifications (CompTIA Server+, Linux+, RHCSA, CCNA, or equivalent) What we offer Stock Options100% paid Medical, Dental, and Vision insurance for EmployeesCompany Health Savings Account Contributions100% paid Short Term and Long Term Disability Insurance for EmployeesLife and Voluntary Supplemental Insurance OptionsOther Insurance Options, such as Pet & Legal InsuranceVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness SupportFlexible Spending Account401(k)Employee Assistance ProgramFlexible PTOPaid HolidaysParental LeaveOther 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 accomodations@tensorwave.com. 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.