
Principal Data Center & Cloud Engineering Lead and Strategist
15+ years experienceRemotePosted 7 days ago
**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; and 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.