Data Center Engineering Jobs in USA with Visa Sponsorship
Data center engineering roles attract strong H-1B visa and E-3 visa sponsorship from hyperscalers and colocation providers. Employers filing for these positions typically require a degree in electrical, mechanical, or computer engineering, and sponsorship approval rates are high for qualified candidates. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
TISTA is seeking a Principal-level Data Center and Cloud Engineering Lead and Strategist to shape and deliver the long-term infrastructure direction for VA. This role combines enterprise strategy, physical data center engineering, hybrid-cloud architecture, AI infrastructure planning, and hands-on automation leadership. The successful candidate can assess conditions at the rack level, identify the constraints behind an engineering decision, and turn those findings into a defensible ten-year strategy and practical modernization plan. Working across engineering, operations, financial, and provider teams, this leader develops the designs, reusable patterns, and validation evidence needed to implement and sustain approved changes. This is a hands-on technical leadership role—not an advisory-only architect, a cloud-only specialist, or a project manager without physical infrastructure depth.
At TISTA, you’ll do meaningful, mission-driven work that improves lives alongside teammates you trust and leaders who are transparent and supportive. We invest in your learning and internal mobility so you can build a career that keeps advancing. We’re proud to serve and hire Veterans, and we put people first in everything we do. TISTA associates enjoy above Industry Healthcare Benefits, Remote Working Options, Paid Time Off, Training/Certification opportunities, Healthcare Savings Account & Flexible Savings Account, Paid Life Insurance, Short-term & Long-term Disability, 401K Match, Tuition Reimbursement, Employee Assistance Program, Paid Holidays, Military Leave, and much more!
Responsibilities
Ten-year data center and hybrid-cloud strategy: Lead development and refresh of a ten-year estate strategy covering site roles, capacity, resilience, AI demand, lifecycle exposure, consolidation, cloud placement, and retirement. Compare options using documented assumptions, cost and risk scenarios, and investment dependencies. Translate long-term direction into a rolling three-year roadmap, annual priorities, and executable engineering work packages; update the strategy as evidence and mission needs change.
Hands-on site and rack-level assessments: Personally conduct onsite walkthroughs and reconcile rack elevations, equipment, power connections, cabling, labels, network paths, environmental readings, and asset records. Evaluate rack density, A/B power paths, power distribution units, airflow, hot/cold aisle containment, cooling constraints, physical clearances, and maintenance access. Distinguish installed capacity from usable capacity under normal, failure, and maintenance conditions, coordinating electrical and mechanical validation with qualified facilities specialists.
Hybrid architecture and workload placement: Develop integrated compute, storage, network, virtualization, container, backup, and recovery designs across data centers and cloud. Determine whether workloads should remain, consolidate, refresh, migrate, modernize, or retire. Assess application and mainframe dependencies with their accountable owners. Produce reference architectures, placement recommendations, migration waves, and supportable designs without assuming that cloud migration is always the preferred answer.
AI-ready infrastructure engineering: Assess how AI training, fine-tuning, and inference requirements affect accelerator/GPU capacity, memory, rack density, power, cooling, networking, storage throughput, data locality, and resiliency. Evaluate air- and liquid-cooling options where relevant, facility readiness, utilization, and cloud-versus-on-premises economics. Convert AI demand into right-sized engineering requirements and phased options rather than unsupported hardware forecasts.
Data center automation and Golden Paths: Lead an automation roadmap covering approved bare-metal, virtual, and cloud provisioning; configuration and firmware lifecycle; patching; network/storage integration; tagging; inventory reconciliation; backup onboarding; and decommissioning. Develop and review reusable infrastructure-as-code modules, scripts, and orchestration workflows with Git-based version control, automated testing, policy checks, controlled credentials, and rollback. Connect deployments to ITSM, monitoring, and configuration records so the delivered service remains traceable and supportable.
AI-assisted engineering and operations: Partner with data, AI, and operations specialists to evaluate approved use cases such as anomaly detection, capacity forecasting, predictive maintenance, incident correlation, and assisted diagnostics. Define data-quality prerequisites, baselines, evaluation criteria, human oversight, and measurable benefits. Distinguish validated recommendations from unverified model output; maintain approval, security, and recovery controls before any production action.
Engineering assurance, testing, and operational readiness: Own the technical quality of assigned assessments, designs, and implementation packages. Direct and critically review airflow/thermal studies, including computational fluid dynamics where required, and reconcile their assumptions to actual site conditions. Establish integration, capacity, performance, failover, recovery, and acceptance tests. Verify cutover and rollback plans, maintenance windows, operating procedures, support ownership, and readiness evidence before recommending release.
Engineering records, lifecycle, and economic evidence: Maintain accurate rack layouts, drawings, cable and power schedules, dependency maps, lifecycle records, and DCIM/CMDB relationships. Use the READI approach—Reliability, Evidence, Asset Lifecycle, Design Risk, and Infrastructure Capacity—to connect findings to decisions. Work with FinOps and the Business Office on total cost, cost of inaction, utilization, capacity release, and benefit validation. Do not equate fewer racks or deployed automation with proven savings.
Technical leadership and engineering excellence: Serve as a senior technical leader within IE&O Engineering, Architecture, Strategy and Governance (EAS). Lead multidisciplinary engineers; mentor staff; facilitate design reviews; and build reusable patterns through the Automation and Engineering Center of Excellence. Coordinate with Application Hosting, Application Services, cloud, DCO, SDI, security, and facilities providers. Brief VA leaders on alternatives, costs, risks, dependencies, and decisions while maintaining hands-on credibility with delivery teams.
Representative Outputs:
- Ten-year estate strategy and phased investment options
- Rolling modernization roadmap
- Site/rack assessment packages
- AI-readiness assessments
- Reference architectures
- Tested Golden Path automation
- Migration and rollback plans
- Technical validation reports
- Current configuration and support documentation
Role Boundaries: The role leads assigned contractor engineering and technical assurance. VA retains applicable funding, policy, risk-acceptance, authorization, contractual, and acceptance decisions. Accountable providers retain their implementation and operational responsibilities. Electrical/mechanical work remains with appropriately qualified personnel; AI use and automation require approved tools, data access, scope, and controls.
QUALIFICATIONS
Required Qualifications:
Experience: 15+ years of progressively responsible infrastructure engineering experience, including 8+ years in data center engineering/architecture and 5+ years leading complex engineering or modernization initiatives. These periods may overlap. Demonstrated responsibility across physical infrastructure and hybrid-cloud environments.
Physical engineering depth: Recent, personally performed data center assessments and practical command of rack elevations, power-path redundancy, PDUs, airflow/cooling, cabling, connectivity, equipment placement, capacity, and as-built validation. Ability to read and challenge electrical single-line, mechanical, network, and rack documentation with the appropriate specialists.
Strategy and delivered outcomes: Evidence of authoring a multi-year infrastructure or data center strategy and translating it into implemented changes. Direct technical leadership of consolidation, migration, refresh, resilience, or decommissioning work, with a clear account of personal contribution and results.
Cloud and platform engineering: Substantial experience with at least one major cloud platform and enterprise compute, storage, networking, virtualization, and backup/recovery. Ability to assess workload placement, hybrid connectivity, resilience, capacity, and lifecycle tradeoffs.
Automation and AI readiness: Hands-on ability to develop or review infrastructure automation, APIs, source-controlled configurations, tests, and recovery logic. Experience with Ansible, Terraform, Python, PowerShell, or comparable tools; expertise in every listed tool is not required. Demonstrated ability to reason through AI infrastructure requirements and safely evaluate AI-enabled operational improvements.
Site engagement and Government access: Ability to conduct required onsite assessments and travel to designated facilities under applicable safety and access procedures. Ability to satisfy the position's Government background-investigation, suitability, training, and system-access requirements.
Preferred Qualifications
- Experience supporting VA, another federal agency, or a large regulated enterprise; AI/HPC or GPU-platform planning and deployment; high-density or liquid-cooled infrastructure; thermal/CFD analysis or digital-twin validation; ITSM/DCIM integration; and building an engineering or automation Center of Excellence.
- Relevant data center design, cloud architecture, automation, or infrastructure credentials are beneficial. Certifications supplement—not replace—demonstrated site engineering and delivery experience. This position is not intended as an AI research-scientist role.
- Internal posting note: Experience thresholds and reporting alignment are proposed recruiting criteria, not verified labor-category minimums. HR and Contracts must confirm the labor category, equivalencies, work location, travel, and suitability/access terms before posting.
Education and communication: Bachelor's degree in engineering, computer science, information technology, or a related discipline, or an allowable equivalent combination of education and experience. Strong technical writing and the ability to defend designs with engineers and explain investment choices to executive leaders.
Clearance: Must be able to obtain and maintain the personnel suitability, credentials, system access, and training required per a Tier 4 / High Risk clearance.
Work Location:
Onsite data center assessments and travel are required; base location and frequency to be confirmed.
INTRODUCTION
TISTA is seeking a Principal-level Data Center and Cloud Engineering Lead and Strategist to shape and deliver the long-term infrastructure direction for VA. This role combines enterprise strategy, physical data center engineering, hybrid-cloud architecture, AI infrastructure planning, and hands-on automation leadership. The successful candidate can assess conditions at the rack level, identify the constraints behind an engineering decision, and turn those findings into a defensible ten-year strategy and practical modernization plan. Working across engineering, operations, financial, and provider teams, this leader develops the designs, reusable patterns, and validation evidence needed to implement and sustain approved changes. This is a hands-on technical leadership role—not an advisory-only architect, a cloud-only specialist, or a project manager without physical infrastructure depth.
At TISTA, you’ll do meaningful, mission-driven work that improves lives alongside teammates you trust and leaders who are transparent and supportive. We invest in your learning and internal mobility so you can build a career that keeps advancing. We’re proud to serve and hire Veterans, and we put people first in everything we do. TISTA associates enjoy above Industry Healthcare Benefits, Remote Working Options, Paid Time Off, Training/Certification opportunities, Healthcare Savings Account & Flexible Savings Account, Paid Life Insurance, Short-term & Long-term Disability, 401K Match, Tuition Reimbursement, Employee Assistance Program, Paid Holidays, Military Leave, and much more!
Responsibilities
Ten-year data center and hybrid-cloud strategy: Lead development and refresh of a ten-year estate strategy covering site roles, capacity, resilience, AI demand, lifecycle exposure, consolidation, cloud placement, and retirement. Compare options using documented assumptions, cost and risk scenarios, and investment dependencies. Translate long-term direction into a rolling three-year roadmap, annual priorities, and executable engineering work packages; update the strategy as evidence and mission needs change.
Hands-on site and rack-level assessments: Personally conduct onsite walkthroughs and reconcile rack elevations, equipment, power connections, cabling, labels, network paths, environmental readings, and asset records. Evaluate rack density, A/B power paths, power distribution units, airflow, hot/cold aisle containment, cooling constraints, physical clearances, and maintenance access. Distinguish installed capacity from usable capacity under normal, failure, and maintenance conditions, coordinating electrical and mechanical validation with qualified facilities specialists.
Hybrid architecture and workload placement: Develop integrated compute, storage, network, virtualization, container, backup, and recovery designs across data centers and cloud. Determine whether workloads should remain, consolidate, refresh, migrate, modernize, or retire. Assess application and mainframe dependencies with their accountable owners. Produce reference architectures, placement recommendations, migration waves, and supportable designs without assuming that cloud migration is always the preferred answer.
AI-ready infrastructure engineering: Assess how AI training, fine-tuning, and inference requirements affect accelerator/GPU capacity, memory, rack density, power, cooling, networking, storage throughput, data locality, and resiliency. Evaluate air- and liquid-cooling options where relevant, facility readiness, utilization, and cloud-versus-on-premises economics. Convert AI demand into right-sized engineering requirements and phased options rather than unsupported hardware forecasts.
Data center automation and Golden Paths: Lead an automation roadmap covering approved bare-metal, virtual, and cloud provisioning; configuration and firmware lifecycle; patching; network/storage integration; tagging; inventory reconciliation; backup onboarding; and decommissioning. Develop and review reusable infrastructure-as-code modules, scripts, and orchestration workflows with Git-based version control, automated testing, policy checks, controlled credentials, and rollback. Connect deployments to ITSM, monitoring, and configuration records so the delivered service remains traceable and supportable.
AI-assisted engineering and operations: Partner with data, AI, and operations specialists to evaluate approved use cases such as anomaly detection, capacity forecasting, predictive maintenance, incident correlation, and assisted diagnostics. Define data-quality prerequisites, baselines, evaluation criteria, human oversight, and measurable benefits. Distinguish validated recommendations from unverified model output; maintain approval, security, and recovery controls before any production action.
Engineering assurance, testing, and operational readiness: Own the technical quality of assigned assessments, designs, and implementation packages. Direct and critically review airflow/thermal studies, including computational fluid dynamics where required, and reconcile their assumptions to actual site conditions. Establish integration, capacity, performance, failover, recovery, and acceptance tests. Verify cutover and rollback plans, maintenance windows, operating procedures, support ownership, and readiness evidence before recommending release.
Engineering records, lifecycle, and economic evidence: Maintain accurate rack layouts, drawings, cable and power schedules, dependency maps, lifecycle records, and DCIM/CMDB relationships. Use the READI approach—Reliability, Evidence, Asset Lifecycle, Design Risk, and Infrastructure Capacity—to connect findings to decisions. Work with FinOps and the Business Office on total cost, cost of inaction, utilization, capacity release, and benefit validation. Do not equate fewer racks or deployed automation with proven savings.
Technical leadership and engineering excellence: Serve as a senior technical leader within IE&O Engineering, Architecture, Strategy and Governance (EAS). Lead multidisciplinary engineers; mentor staff; facilitate design reviews; and build reusable patterns through the Automation and Engineering Center of Excellence. Coordinate with Application Hosting, Application Services, cloud, DCO, SDI, security, and facilities providers. Brief VA leaders on alternatives, costs, risks, dependencies, and decisions while maintaining hands-on credibility with delivery teams.
Representative Outputs:
- Ten-year estate strategy and phased investment options
- Rolling modernization roadmap
- Site/rack assessment packages
- AI-readiness assessments
- Reference architectures
- Tested Golden Path automation
- Migration and rollback plans
- Technical validation reports
- Current configuration and support documentation
Role Boundaries: The role leads assigned contractor engineering and technical assurance. VA retains applicable funding, policy, risk-acceptance, authorization, contractual, and acceptance decisions. Accountable providers retain their implementation and operational responsibilities. Electrical/mechanical work remains with appropriately qualified personnel; AI use and automation require approved tools, data access, scope, and controls.
QUALIFICATIONS
Required Qualifications:
Experience: 15+ years of progressively responsible infrastructure engineering experience, including 8+ years in data center engineering/architecture and 5+ years leading complex engineering or modernization initiatives. These periods may overlap. Demonstrated responsibility across physical infrastructure and hybrid-cloud environments.
Physical engineering depth: Recent, personally performed data center assessments and practical command of rack elevations, power-path redundancy, PDUs, airflow/cooling, cabling, connectivity, equipment placement, capacity, and as-built validation. Ability to read and challenge electrical single-line, mechanical, network, and rack documentation with the appropriate specialists.
Strategy and delivered outcomes: Evidence of authoring a multi-year infrastructure or data center strategy and translating it into implemented changes. Direct technical leadership of consolidation, migration, refresh, resilience, or decommissioning work, with a clear account of personal contribution and results.
Cloud and platform engineering: Substantial experience with at least one major cloud platform and enterprise compute, storage, networking, virtualization, and backup/recovery. Ability to assess workload placement, hybrid connectivity, resilience, capacity, and lifecycle tradeoffs.
Automation and AI readiness: Hands-on ability to develop or review infrastructure automation, APIs, source-controlled configurations, tests, and recovery logic. Experience with Ansible, Terraform, Python, PowerShell, or comparable tools; expertise in every listed tool is not required. Demonstrated ability to reason through AI infrastructure requirements and safely evaluate AI-enabled operational improvements.
Site engagement and Government access: Ability to conduct required onsite assessments and travel to designated facilities under applicable safety and access procedures. Ability to satisfy the position's Government background-investigation, suitability, training, and system-access requirements.
Preferred Qualifications
- Experience supporting VA, another federal agency, or a large regulated enterprise; AI/HPC or GPU-platform planning and deployment; high-density or liquid-cooled infrastructure; thermal/CFD analysis or digital-twin validation; ITSM/DCIM integration; and building an engineering or automation Center of Excellence.
- Relevant data center design, cloud architecture, automation, or infrastructure credentials are beneficial. Certifications supplement—not replace—demonstrated site engineering and delivery experience. This position is not intended as an AI research-scientist role.
- Internal posting note: Experience thresholds and reporting alignment are proposed recruiting criteria, not verified labor-category minimums. HR and Contracts must confirm the labor category, equivalencies, work location, travel, and suitability/access terms before posting.
Education and communication: Bachelor's degree in engineering, computer science, information technology, or a related discipline, or an allowable equivalent combination of education and experience. Strong technical writing and the ability to defend designs with engineers and explain investment choices to executive leaders.
Clearance: Must be able to obtain and maintain the personnel suitability, credentials, system access, and training required per a Tier 4 / High Risk clearance.
Work Location:
Onsite data center assessments and travel are required; base location and frequency to be confirmed.
See all 2,453+ Data Center Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Center Engineering roles.
Get Access To All JobsTips for Finding Data Center Engineering Jobs
Target hyperscalers and colocation operators first
Companies like Amazon Web Services, Microsoft Azure, and Google operate large data center portfolios and have established immigration programs. These employers sponsor H-1B and E-3 visas regularly and have dedicated legal teams to handle the process efficiently.
Match your degree field to the job description
H-1B and E-3 eligibility requires a specialty occupation tied to a specific degree field. Electrical, mechanical, or computer engineering degrees align most cleanly with data center roles, which strengthens your petition and reduces the risk of a USCIS denial.
Emphasize hands-on infrastructure credentials
Certifications such as CDCP, CDCE, or vendor credentials from Schneider Electric or Vertiv signal operational competency. Employers sponsoring data center engineers often use these credentials to justify the specialty occupation classification in H-1B petitions.
Understand the LCA before you sign your offer
Your employer must file a Labor Condition Application with the Department of Labor before submitting your visa petition. The LCA locks in your work location and wage level, so verify that both accurately reflect your actual role before the offer is finalized.
Account for the H-1B lottery timeline in your planning
H-1B cap-subject petitions are selected in April for an October 1 start date. If you need to begin work before October, discuss cap-exempt employer options or alternative visa categories like the O-1A with your employer during the hiring process.
Australian nationals should ask about the E-3 specifically
The E-3 visa is available exclusively to Australian citizens and has a 10,500 annual cap that has never been exhausted. It processes faster than the H-1B, skips the lottery entirely, and is well suited to data center engineering specialty occupation filings.
Frequently Asked Questions
Do data center engineering jobs qualify as H-1B specialty occupations?
Yes, most data center engineering roles qualify as specialty occupations because they require at least a bachelor's degree in electrical, mechanical, or computer engineering. Roles focused on critical infrastructure design, power systems, or cooling systems have a documented track record of H-1B visa approval. General facilities management roles without a degree requirement can face challenges, so confirming the job description specifies a required degree is important before filing.
Which visa categories are most commonly used to sponsor data center engineers?
H-1B is the most common sponsorship vehicle for data center engineers in the U.S. Australian citizens have access to the E-3 visa, which skips the lottery and processes faster. Engineers with extraordinary ability or achievement records may qualify for the O-1A. TN visa status is available to Canadian and Mexican nationals in engineering roles explicitly listed under USMCA. Browse current openings on Migrate Mate to find employers actively filing for these categories.
Does my specific engineering degree matter for data center sponsorship?
It matters significantly. USCIS evaluates whether your degree field is directly related to the duties of the role. Electrical and mechanical engineering degrees align most clearly with data center infrastructure work involving power distribution, UPS systems, and HVAC. Computer engineering or computer science degrees support roles with a heavier systems or controls focus. A general business or unrelated degree will make the specialty occupation case harder to win, regardless of work experience.
Can a data center engineering role be sponsored for a green card?
Yes. Data center engineers are typically sponsored through the EB-2 or EB-3 employment-based green card categories, both of which require PERM labor certification. The employer must demonstrate that no qualified U.S. worker is available for the position. Because data center engineering is a specialized technical field, PERM applications for these roles have a reasonable approval rate, though wait times vary significantly by country of birth due to visa backlogs.
What experience level do most sponsoring employers expect for data center engineering roles?
Most sponsors filing H-1B or E-3 petitions for data center engineers expect two to five years of hands-on experience with critical infrastructure systems, including power, cooling, and physical security. Entry-level sponsorship does occur, particularly at large hyperscalers with established immigration programs, but competition is higher. Candidates with operational technology experience, familiarity with DCIM platforms, or exposure to Tier III and Tier IV data center standards are consistently more competitive in the sponsorship pipeline.
What is the prevailing wage requirement for sponsored Data Center Engineering jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.