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# Data Center Operations and Maintenance Manager

- **Company:** Designworks NY LLC
- **Location:** Bellevue, WA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Data Centers, Distributed Systems, Reliability Engineering, Prometheus, AI Infrastructure, Datadog, Computer Network Operations, High Performance Computing, Grafana, AI Platforms, Performance Monitor, Hardware Infrastructure, Pagerduty
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-center-operations-and-maintenance-manager-bellevue-wa--1146be66-087f-4817-bca7-9ca0f3a278e1

## About the Role

Network Operations Center, Maintenance Services, Network Operations Center, Maintenance Services, Artificial Intelligence (AI), Cloud Computing, Intelligence Agencies, Automation, Team Player, Machine Tool, * Experience leading Operations, Site Reliability, Infrastructure Operations, Data Center Operations, or Production Engineering organizations.

 * Proven success building or scaling operations teams within cloud infrastructure, hyperscale environments, AI infrastructure, or large distributed systems.
 * Deep expertise in production operations, incident management, service reliability, and operational excellence.
 * Experience leading cross-functional teams during high-severity production incidents.
 * Strong understanding of infrastructure operations across compute, networking, storage, and hardware environments.
 * Demonstrated success building operational processes, organizational structure, and scalable support models in high-growth environments.
 * Executive-level communication skills with the ability to influence engineering and business leadership.
 * Comfortable operating in an early-stage organization where many systems and processes are being built for the first time., * Experience supporting hyperscale cloud platforms, GPU infrastructure, AI platforms, HPC environments, or large-scale data centers.
 * Experience with modern observability and monitoring platforms such as Grafana, Prometheus, Datadog, or similar technologies.
 * Familiarity with incident management platforms including PagerDuty, Opsgenie, or equivalent solutions.
 * Experience implementing operational maturity frameworks and reliability engineering best practices.
 * Track record of building globally distributed operations organizations.

## Description

This is a leadership role responsible for building and scaling the Operations & Maintenance function supporting mission-critical AI infrastructure. Depending on experience, responsibilities may range from leading a regional operations team to defining the long-term operational strategy across multiple facilities.

You will partner closely with Engineering, Infrastructure, Networking, Hardware, and Customer Operations leadership to create a highly reliable, scalable operating model capable of supporting one of the industry's most advanced AI infrastructure platforms.

What You'll Do

 * Build, lead, mentor, and grow high-performing Operations & Maintenance teams.
 * Develop the operational strategy, organizational structure, and execution model supporting large-scale AI infrastructure.
 * Establish world-class operational processes, including incident response, change management, problem management, and service reliability.
 * Lead major incident management efforts and executive communications during production events.
 * Drive operational excellence through proactive monitoring, observability, automation, and continuous improvement initiatives.
 * Partner with Engineering to ensure operational readiness for new infrastructure deployments and platform launches.
 * Define service level objectives (SLOs), operational KPIs, and reliability metrics across the infrastructure portfolio.
 * Build scalable on-call programs, escalation models, runbooks, and operational governance.
 * Champion root cause analysis and long-term corrective actions to improve platform resilience.
 * Influence infrastructure architecture and operational tooling to improve availability, efficiency, and customer experience.
 * Help shape the long-term operations organization as the company expands globally.