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Manager Meta Data Center Jobs in Virginia (NOW HIRING)

Amazon

Data Center Facility Manager

Ashburn, VA

$170K/yr

Data Center Facility Manger role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot mission ...

Amazon

Data Center Facility Manager

Ashburn, VA · On-site

$170K/yr

Data Center Facility Manger role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot mission ...

Amazon

Data Center Facility Manager

Ashburn, VA

$170K/yr

Data Center Facility Manger role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot mission ...

Oracle

Data Center Manager (Nights)

Ashburn, VA · On-site

$170K/yr

Manage the day-to-day operations of all Data Center sites under your area, in a 24/7 mission critical environment. * Managing the day to day activities of the data center technicians in multiple ...

Brooksource

Data Center Project Manager

Sandston, VA · On-site

$30 - $35/hr

Project Manager, Data Center Services Richmond, VA On-Site Role Compensation: $35-$40/hr ABOUT THE ROLE Our client, a Fortune 10 Hyperscale Cloud Services provider, is seeking a seasoned Project ...

Amazon

Data Center Manager, DCC Communities

Aldie, VA · On-site

$164K/yr

Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and ...

Amazon

Data Center Manager, DCC Communities

Aldie, VA · On-site

$164K/yr

Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and ...

Amazon

Data Center Manager, DCC Communities

Aldie, VA

$164K/yr

Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and ...

Meta

Administrative Partner

Richmond, VA · On-site

$18 - $23.75/hr

Meta is seeking an experienced Administrative Partner to support multiple data center leaders. The person in this role will need to be a masterful probl.

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Manager Meta Data Center information

What is the difference between Manager Meta Data Center vs Data Center Technician?

AspectManager Meta Data CenterData Center Technician
CredentialsTypically requires a bachelor’s degree in IT, computer science, or related field; certifications like Cisco CCNA, CompTIA Server+Often requires a high school diploma or associate degree; certifications like CompTIA A+, Cisco CCNA
Work EnvironmentOversees data center operations, manages staff, plans infrastructure upgradesPerforms hardware installation, troubleshooting, and maintenance within data centers
Industry UsageCommonly employed in large organizations, cloud providers, and data center management firmsFound in data centers, IT service providers, and enterprise IT departments

The main difference is that a Manager Meta Data Center oversees operations, staff, and strategic planning, while a Data Center Technician focuses on hands-on hardware and technical tasks. The manager role requires more leadership and planning skills, whereas technicians handle daily technical work.

What are the most commonly searched types of Meta Data Center jobs in Virginia? The most popular types of Meta Data Center jobs in Virginia are:
What are popular job titles related to Manager Meta Data Center jobs in Virginia? For Manager Meta Data Center jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Manager Meta Data Center jobs? Cities in Virginia with the most Manager Meta Data Center job openings:
Manager Meta Data Center jobs near you

Network Engineer, AI Infrastructure Repair

Meta

Ashburn, VA

$193K/yr

Full-time

Re-posted 2 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

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.
$193,000/year to $271,000/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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