Senior Data Center Engineer, M&E & Liquid Cooling

Linkedin3; Manassas (VA); Hybrid; USD 130,000 - 180,000; Full time

Job summary

LinkedIn is seeking a Data Center Engineer to design, build, and maintain critical data center infrastructure across multiple sites including Mountain View, Hillsboro, Richardson, Plano, and Manassas. The role supports safety, reliability, and efficiency while collaborating with providers and internal teams.

Responsibilities include site selection, due diligence, standardization of designs, and oversight of commissioning and IST to meet high availability targets.

Responsibilities

• Lead site selection and technical evaluation of data center engineering documents, expansions, and data hall fit-outs, including review of electrical one-line diagrams, mechanical system designs, and infrastructure layouts.
• Partner with data center providers to define, measure, and enforce lease SLAs; assess power and cooling capacity; and ensure compliance with LinkedIn's redundancy, resiliency, and availability standards.
• Lead technical due diligence and infrastructure negotiations for colocation leases, amendments, and expansions.
• Translate business and capacity requirements into enforceable technical provisions covering capacity delivery, system performance, demarcation of responsibilities, commissioning, maintenance, reporting, emergency response, and service-level remedies.
• Develop and maintain system-level resiliency and redundancy models that define load distribution, failover sequences, and power/cooling interdependencies to ensure infrastructure designs meet LinkedIn's Tier-level and N+X performance criteria.
• Oversee the design and construction of new data centers, expansions, and retrofits, ensuring that electrical and mechanical systems meet design intent, testing protocols, commissioning standards, and overall project delivery timelines.
• Lead LinkedIn's liquid-cooling deployment strategy by assessing direct-to-chip cooling technologies, comparing performance tradeoffs and operational impacts, and providing data-driven recommendations to leadership for scalable implementation.
• Create appropriate metrics and tools to support system monitoring and maintenance.
• Perform and review advanced electrical and mechanical calculations and analyses, including load flow, short-circuit, coordination, arc-flash, and CFD modeling, to validate system performance and capacity under normal and failure conditions.
• Lead data center design standardization efforts, including the development, maintenance, and continuous improvement of global Basis of Design (BOD) documentation.
• Define and update owner's requirements, design drawings, technical specifications, bills of materials, and performance benchmarks to ensure consistency across regions and providers.
• Lead and oversee commissioning and Integrated Systems Testing (IST) of new data center spaces, retrofits, and upgrades, verifying end-to-end system performance against design specifications and operational requirements.
• Evaluate, qualify, and approve new electrical and mechanical systems, equipment, and components, including vendor qualification and product testing, to ensure standardization, performance, and long-term reliability across the global data center fleet.
• Develop and validate operational-readiness requirements, failure-response procedures, escalation paths, and contingency plans for new and existing infrastructure.
• Partner with operations teams and data center providers to ensure personnel, documentation, spare parts, monitoring, and response capabilities are in place before production deployment.

Job description

LinkedIn is seeking a Data Center Engineer to design, build, and maintain critical data center infrastructure across multiple sites including Mountain View, Hillsboro, Richardson, Plano, and Manassas. The role supports safety, reliability, and efficiency while collaborating with providers and internal teams.

Responsibilities include site selection, due diligence, standardization of designs, and oversight of commissioning and IST to meet high availability targets.