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Contract Data Center Capacity Engineer Jobs in California

Meta

Performance & Capacity Engineer

Menlo Park, CA · On-site

$184K/yr

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization ... Partner across Infra: such as platform teams, operations, networking planning, data center planning ...

Meta

Supply Chain Capacity Engineer

Fremont, CA

$154K/yr

Supply Chain Capacity Engineer Responsibilities: * Own infrastructure supply chain planning and ... Experience with data center infrastructure supply chains, including server hardware, networking ...

Meta

Supply Chain Capacity Engineer

Menlo Park, CA

$154K/yr

Supply Chain Capacity Engineer Responsibilities: * Own infrastructure supply chain planning and ... Experience with data center infrastructure supply chains, including server hardware, networking ...

Meta

Supply Chain Capacity Engineer

Fremont, CA · On-site

$184K - $257K/yr

... gigawatts of data center capacity, and cutting-edge technology including advanced AI ... engineers to implement and contribute code yourself • Develop and analyze business and technical ...

The Consensus

Data Center Engineer

San Jose, CA · On-site

Own rack layout, capacity planning, power distribution, network design, cabling, and physical ... Partner with co-location vendors and internal teams to evaluate sites, negotiate contracts, and ...

Etched.ai, Inc.

Data Center Engineer

San Jose, CA · On-site

Own rack layout, capacity planning, power distribution, network design, cabling, and physical ... Partner with co-location vendors and internal teams to evaluate sites, negotiate contracts, and ...

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Contract Data Center Capacity Engineer information

What is the difference between Contract Data Center Capacity Engineer vs Data Center Operations Technician?

AspectContract Data Center Capacity EngineerData Center Operations Technician
CertificationsData center or network certifications (e.g., CCNA, CDCP)Technical certifications (e.g., CompTIA A+, Data Center certifications)
Work EnvironmentPlanning, analysis, and capacity management in data centersHands-on maintenance, troubleshooting, and daily operations
Primary FocusOptimizing data center capacity and infrastructure planningEnsuring operational uptime and hardware support

The Contract Data Center Capacity Engineer primarily focuses on capacity planning, infrastructure analysis, and optimizing data center resources. In contrast, the Data Center Operations Technician handles daily hardware maintenance, troubleshooting, and operational support. Both roles are essential in data center environments but differ in scope and responsibilities.

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Contract Data Center Capacity Engineer jobs near you

Principal, Global Data Center Planning

Menlo Park, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$271K/yr

Full-time

Posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking a senior infrastructure planning leader to join Data Center Central Planning. In this role, you will develop integrated, multi‑year global data center capacity plans and scaling strategies that ensure Meta can deliver the right infrastructure at the right time, cost, and reliability, while staying adaptable under uncertainty. You’ll translate fast-evolving demand signals—especially those driven by AI large clusters—into executable supply strategies and clear executive decision points.This is a high-leverage role operating at the intersection of data center planning, demand forecasting, infrastructure engineering, supply strategy. You will own our data center planning strategies and recommendations, drive cross-org alignment, and partner with stakeholders across capacity engineering, network, hardware, supply chain, finance, data science, and IDC delivery and operations teams to drive decisions through to implementation.
Principal, Global Data Center Planning Responsibilities:
  • Own multi-year DC capacity planning and the Plan of Record (PoR): Develop, maintain, and continuously refresh integrated global data center supply/capacity plans
  • drive monthly/quarterly updates to assumptions, constraints, and scenarios to ensure plans remain decision-grade and executable.
  • Lead decision-quality tradeoffs for leadership: Apply quantitative and strategic judgment to build scenarios and evaluate alternatives
  • present clear options, tradeoffs, risks, and recommendations for multi‑billion‑dollar infrastructure investments and portfolio decisions.
  • Drive AI large cluster planning outcomes: Partner with engineering and delivery stakeholders to incorporate AI-driven demand profiles, large-cluster requirements, and emerging constraints into the central plan
  • help shape the capacity and delivery strategy to support rapid AI evolution.
  • Create durable planning frameworks (beyond “spreadsheet planning”): Improve the planning ecosystem by defining requirements for data quality, source-of-truth signals, and scalable planning workflows
  • partner with systems/tooling teams to uplevel automation and reliability of planning outputs.
  • Identify constraints, dependencies, and mitigation strategies: Surface systemic risks (power, space, lead times, supply volatility, readiness, policy/legal, sustainability, etc.), define mitigation paths, and drive closure with accountable partners.
  • Own executive communication and stakeholder alignment: Build the narrative and communications strategy for planning decisions (exec briefs, deep dives, recurring forums)
  • drive alignment across diverse, high-seniority stakeholders with competing priorities.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • BS in engineering, computer science, operations research, economics, or other quantitative/analytical field (or equivalent practical experience)
  • 15+ years experience in infrastructure strategy, capacity planning, hardware/cloud infrastructure, supply strategy, or adjacent domains with demonstrated ownership of large, cross-org decisions
  • Demonstrated strength in quantitative analysis and modeling (scenario analysis, sensitivity analysis, decision frameworks, optimizing under constraints/uncertainty)
  • Strong understanding of large-scale infrastructure systems and how workload requirements map to data center constraints (power, space, networking, availability, lead times, etc.)
  • Proven ability to operate autonomously in ambiguous environments and drive alignment to closure through influence
  • Executive-level communication skills: able to synthesize complexity into decision-grade narratives for senior leadership

Preferred Qualifications:
  • Experience with AI infrastructure planning (training/inference demand patterns, large-cluster constraints, rapid shifts in demand and hardware assumptions)
  • Experience owning or evolving planning systems / data pipelines / source-of-truth processes at scale
  • Prior experience partnering with IDC delivery (construction, build programs, lease strategy, site/facility ops) and/or capacity engineering organizations

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$271,000/year to $347,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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