Senior ITS Infrastructure Architect

Job not on LinkedIn

🔥 1 hour ago

🏈 Alabama, Arizona, +30 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $125.3k - $200.5k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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SNHU Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

📚 Education

🤝 Non-profit

🎯 Recruiter

Education • Non-profit • Recruitment

SNHU Careers is the careers and hiring portal for Southern New Hampshire University, a nonprofit institution focused on transforming learners’ lives. The site promotes the university’s mission-driven culture, inclusive values, employee benefits (including remote work options and paid time off), and a wide range of job categories from academics and teaching to business operations, student support, marketing, and campus roles. It encourages talent community sign-ups and highlights professional development, diversity and equity initiatives, and flexible work arrangements.

📋 Description

• Develop and maintain enterprise architecture roadmaps, standards, reference architectures, and design patterns for multi cloud, infrastructure, data, and AI-enabling platforms. • Design secure, scalable, resilient, and cost-optimized multi cloud and hybrid-cloud infrastructure to support enterprise applications, advanced analytics, artificial intelligence, machine learning, and large language model workloads. • Architect secure landing zones, compute foundations, and integration approaches that ensure reliable AI and data platform capabilities. • Translate business, technical, security, compliance, and operational requirements into practical architecture decisions, solution designs, and implementation guidance. • Work with peer architects to help establish architectural governance, design review, lifecycle management, and service management practices that align with enterprise architecture and ITIL-based operating models. • Working with Information Security architects, help to define cloud security, identity and access management, data isolation, monitoring, compliance, and multi-tenant guardrails for enterprise infrastructure and AI-enabled environments. • Evaluate latest technologies, cloud services, AI platform capabilities, vendor solutions, and infrastructure standards to support business outcomes and reduce operational risk. • Partner with project teams, engineers, architects, security teams, data teams, vendors, and partners to guide solution delivery and ensure successful transition to operation. • Work with Cloud Engineers to mature existing cloud financial management and FinOps practices to forecast, monitor, and optimize infrastructure, storage, compute, data movement, and AI workload costs. • Create clear architecture documentation, decision records, recommendations, and presentations for technical, operational, and leadership audiences. • Provide mentorship for peers and engineers as prescribed by leadership.

🎯 Requirements

• 15+ years of related experience, including experience with enterprise-scale multi cloud infrastructure, systems architecture, data platforms, security, governance, and service management. • Associates Degree (or higher). • Experience with software/system development lifecycle, and operational support models. • Direct experience with AI infrastructure foundations, including cloud AI services, pipeline orchestration, scalable compute, secure data movement, monitoring, and lifecycle management. • Direct experience managing complex network, cloud-native, microservices, identity, data ingestion, security, and multi-tenant architecture considerations. • Direct experience with enterprise architecture, cloud infrastructure, data platforms, security principles, IT standards, ITSM/ITIL practices, and operational governance. • Experience translating complex business, technical, security, and compliance requirements into clear architecture roadmaps, solution designs, and implementation guidance. • Experience with implementing enterprise AI infrastructure patterns, including secure landing zones, data pipelines, model execution environments, cloud-native AI services, monitoring, and lifecycle management. • Experience with evaluating new technologies, assess architecture alternatives, estimate financial and operational impacts, and balance short-term delivery needs with long-term enterprise outcomes. • Experience with maturing FinOps practices for forecasting, monitoring, and optimizing cloud compute, storage, data movement, GPU-enabled services, and AI workload costs. • Experience in higher education or regulated enterprise environments. (e.g., HIPPA, SOX, PCI, FERPA) • Experience working with Agile, DevOps, infrastructure as code, and cloud operating models. • Experience with Multi Cloud OpenAI Service, Multi Cloud AI services, Databricks, Synapse, cloud data lakes, vector databases, or comparable AI and data platform services.

🏖️ Benefits

• High-quality, low-deductible medical insurance • Low to no-cost dental and vision plans • 5 weeks of paid time off (plus almost a dozen paid holidays) • Employer-funded retirement • Free tuition program • Parental leave • Mental health and wellbeing resources