Principal Data Center & Cloud Engineering Lead and Strategist (AI)
Контакты
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aipythonansibleterraforminfrastructure as codepowershellhybrid cloudcloud architectureinfrastructure automationdata center engineering
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает широкий и технически содержательный круг задач: от стратегии дата-центров до гибридного облака и AI-инфраструктуры. При этом требования к опыту очень высокие, а частота поездок и итоговая локация пока не подтверждены.
Условия поездок
Очень высокий порог
Современный стек
Понятная зона ответственности
?Госпрограмма
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Center & Cloud Engineering Lead and Strategist (AI): Shaping ten-year data center and hybrid-cloud strategies, physical infrastructure assessments, AI-ready platforms, and automation for the Department of Veterans Affairs with an accent on rack-level engineering, workload placement, resilience, and infrastructure economics. Focus on designing modernization roadmaps, validating thermal and capacity assumptions, building tested Golden Paths, and translating AI demand into supportable infrastructure requirements.
Location: Remote within the United States, with required onsite data center assessments and travel to designated facilities; base location and frequency to be confirmed.
Company
hirify.global provides mission-driven technology services for the Department of Veterans Affairs, including infrastructure engineering and operations.
What you will do
Develop and refresh a ten-year data center and hybrid-cloud estate strategy, translating it into three-year roadmaps, annual priorities, and executable engineering packages.
Conduct rack-level and onsite data center assessments covering power, cooling, airflow, cabling, connectivity, capacity, equipment placement, and as-built validation.
Design hybrid compute, storage, network, virtualization, container, backup, and recovery architectures; evaluate workload retention, consolidation, migration, modernization, and retirement.
Assess AI training, fine-tuning, and inference infrastructure requirements, including GPU capacity, memory, density, power, cooling, networking, storage, resiliency, and cloud-versus-on-premises economics.
Lead infrastructure automation and reusable Golden Paths for bare-metal, virtual, and cloud provisioning, lifecycle management, testing, policy checks, rollback, ITSM, monitoring, and configuration records.
Lead multidisciplinary engineering assurance, testing, operational readiness, lifecycle documentation, cost and risk analysis, design reviews, and technical briefings to VA leaders.
Requirements
15+ years of progressively responsible infrastructure engineering experience, including 8+ years in data center engineering or architecture and 5+ years leading complex engineering or modernization initiatives; these periods may overlap.
Recent personal experience conducting data center assessments and practical command of rack elevations, redundant power paths, 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 qualified specialists.
Experience authoring multi-year infrastructure or data center strategies and delivering consolidation, migration, refresh, resilience, or decommissioning initiatives with documented personal contribution and results.
Substantial experience with at least one major cloud platform and enterprise compute, storage, networking, virtualization, and backup/recovery, including workload placement, hybrid connectivity, resilience, capacity, and lifecycle tradeoffs.
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 is required; expertise in every listed tool is not required.
Ability to reason through AI infrastructure requirements and safely evaluate AI-enabled operational improvements.
Ability to perform required onsite assessments and travel to designated facilities under applicable safety and access procedures.
Ability to obtain and maintain Tier 4 / High Risk personnel suitability, credentials, system access, training, and Government background-investigation requirements.
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 executive communication skills.
Nice to have
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 or CFD analysis; digital-twin validation; ITSM/DCIM integration; or an engineering or automation Center of Excellence.
Relevant data center design, cloud architecture, automation, or infrastructure certifications. Certifications supplement, but do not replace, demonstrated site engineering and delivery experience.
Culture & Benefits
Full-time employment reporting to the IE&O Program Manager within a mission-driven Department of Veterans Affairs program.
Remote working options with onsite facility assessments and travel requirements.
Healthcare benefits, paid time off, paid holidays, military leave, life insurance, short- and long-term disability coverage, 401(k) match, HSA/FSA, tuition reimbursement, and an employee assistance program.
Training and certification opportunities, learning investment, and internal mobility.
Hiring process
Final work location, travel frequency, labor-category alignment, and suitability or access terms require confirmation by HR and Contracts before posting.
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