IT Systems Engineer

Key Responsibilities

• AI‑Native Services & SaaS Management: Handle the provisioning, administration, and monitoring of enterprise SaaS applications and all AI services (e.g., ChatGPT Enterprise, Git Hub Copilot, API key management for OpenAI/Anthropic/etc.).
• Server & AI Infrastructure Administration: Deploy, manage, and maintain physical and virtual servers, with a strong focus on VMware ESXi environments, including configuring GPU passthrough for AI workloads.
• Network & Connectivity: Configure, manage, and troubleshoot internal networks for high‑bandwidth R&D needs. Manage and optimize Cloudflare configurations and VPN access for local and remote employees.
• Identity & Access Management: Administer Single Sign‑On (SSO) and manage secure user lifecycle operations (onboarding/offboarding) using Azure Entra .
• IT Support: Provide timely Tier 1/Tier 2 technical support to staff, resolving hardware, software, and connectivity issues across traditional and AI‑augmented workflows.
• Security & Compliance: Implement and uphold foundational IT security protocols. Monitor networks for vulnerabilities and ensure internal AI data‑handling policies are strictly enforced.
• IT Asset Organization: Maintain a clean, organized, and accurately inventoried IT closet/storage room, ensuring all hardware assets are properly labeled, tracked, and readily accessible.
• Asset Lifecycle & Retirement: Manage the full lifecycle of IT assets, including scheduling and executing the decommissioning and disposal of end‑of‑life hardware in accordance with company policy and data security requirements.

• Demonstrated familiarity with foundational networking concepts (TCP/IP, DNS, DHCP, routing, switching, and firewalls).
• Hands‑on experience with server hardware and virtualization technologies, specifically VMware ESXi.
• Experience managing Cloudflare settings and administering enterprise VPNs.
• Familiarity with provisioning and managing modern SaaS applications, cloud platforms (AWS, Azure, or GCP), and third‑party AI services/APIs.
• Experience configuring and managing SSO and user identities via Azure Entra .
• Strong problem‑solving skills, a passion for AI‑driven workflows, and a customer‑service‑oriented mindset.

• Local LLM / SLM
  
  Experience:
  
  Hands‑on experience running, deploying, or managing local Large Language Models (LLMs) or Small Language Models (SLMs) (e.g., using Ollama, vLLM, Hugging Face on local hardware).
• Cybersecurity
  
  Experience:
  
  Foundational knowledge or hands‑on experience with cybersecurity principles, threat mitigation, endpoint protection, or compliance frameworks.