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
TensorWave is building the next generation of GPU cloud infrastructure, and our Global Operations Center is the backbone that keeps it running 24/7 across multiple data centers. As Lead Operations Engineer, you’ll be the technical backbone of the GOC and bridge the gap between our frontline operations engineers and the engineering teams that build and maintain our platform.
You’re the person who makes the shift teams more effective: developing and validating the runbooks they execute, reviewing major incidents to drive systemic improvements, and working directly with engineering leads to build better alerting and identify tasks that can be safely pushed to the operations floor. You’ll work with the Head of Global Operations to own the operational maturity of the GOC and be the driving force behind turning reactive firefighting into proactive, repeatable operations.
Establish and enforce standards for runbook quality, including clear escalation criteria, rollback procedures, and customer impact assessments
Validate runbooks through tabletop exercises and live testing before releasing to shift teams
Continuously identify gaps in GOC processes, tooling, and coverage
Develop and implement new processes to address operational blind spots
Drive standardization of incident triage, escalation, and resolution workflows across all shifts
Build and maintain the GOC’s operational knowledge base. Own the full lifecycle of GOC runbooks: creation, peer review, validation, and retirement
Develop runbooks for common and safe operational tasks that shift teams can execute independently
Lead post-incident reviews for all major incidents, producing actionable findings
Track recurring issue patterns and drive root cause resolution with engineering teams
Maintain and report on incident metrics, identifying trends that require systemic fixes
Ensure lessons learned are incorporated into runbooks, alerting, and training
Serve as the primary technical liaison between the GOC and Engineering
Work with engineering leads to develop and refine alerting thresholds and reduce noise
Identify operational tasks that can be safely delegated to shift teams and work with engineering to build the tooling and guardrails to support that
Advocate for operational improvements in platform design and deployment processes
Provide operational input into change management and maintenance planning
Who You Are
Required Qualifications
3+ years in infrastructure operations, site reliability engineering, NOC/SOC, or a similar role in a data center, cloud, or managed services environment
Strong understanding of GPU compute infrastructure, Linux systems administration, and networking fundamentals
Demonstrated experience building runbooks, operational procedures, and incident management frameworks from scratch
Track record of leading post-incident reviews and driving measurable operational improvements
Ability to work across organizational boundaries—comfortable engaging with engineering leads, shift operators, and leadership alike
Experience with monitoring and observability tools (e.g., Prometheus, Grafana, PagerDuty, or similar)
Strong written communication skills; you’ll be authoring documentation that shift teams rely on at 3 AM
Familiarity with ITIL or similar operational frameworks (pragmatic application, not certification worship)
Preferred Qualifications
Experience in GPU cloud, HPC, or AI/ML infrastructure operations
Background in both NOC and SOC functions or converged operations environments
Experience supporting enterprise customers with SLA-driven service commitments
Familiarity with hardware lifecycle management, RMA processes, and vendor coordination
Scripting/automation skills (Python, Bash) for building operational tooling
Experience scaling operations teams from early-stage to mature 24/7 coverage
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 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.
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