IT Systems Engineer

Key Responsibilities

• Handle the provisioning, administration, and monitoring of enterprise SaaS applications and all AI services (e.g., ChatGPT Enterprise, GitHub Copilot, API key management for OpenAI/Anthropic/etc.).
• Deploy, manage, and maintain physical and virtual servers, with a strong focus on VMware ESXi environments, including configuring GPU passthrough for AI workloads.
• 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.
• Administer Single Sign-On (SSO) and manage secure user lifecycle operations (onboarding/offboarding) using Azure Entra ID.
• Provide timely Tier 1/Tier 2 technical support to staff, resolving hardware, software, and connectivity issues across traditional and AI-augmented workflows.
• Implement and uphold foundational IT security protocols. Monitor networks for vulnerabilities and ensure internal AI data-handling policies are strictly enforced.
• Maintain a clean, organized, and accurately inventoried IT closet/storage room, ensuring all hardware assets are properly labeled, tracked, and readily accessible.
• 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.

Basic Qualifications

• 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 ID.
• Strong problem-solving skills, a passion for AI-driven workflows, and a customer-service-oriented mindset.

Preferred Qualifications

• 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.

Compensation Range

$100K - $120K