Litmus IO

Litmus IO

IT Systems Engineer

Santa Clara, California

Sponsorship not specifiedDetected 1 day ago
Distributed SystemsGitAWSGCPAzureCloud PlatformsMachine LearningLLMsCybersecurityCustomer SupportSystems EngineeringTCP/IPDNSFirewallVPNProblem Solving

About the role

  • AI doesn't work without real-world, contextualized data - Litmus makes that data usable.
  • As AI adoption accelerates, most industrial environments still can't access or use their operational data.
  • We're a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge.

Responsibilities

  • 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.
  • Identity & Access Management: Administer Single Sign-On (SSO) and manage secure user lifecycle operations (onboarding/offboarding) using Azure Entra ID.
  • 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.
  • We're building a team that holds a high bar and pushes each other to improve.
  • You'll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale.
  • We value empathy just as much as execution, whether that's in how we build, how we communicate, or how we support each other.
  • 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.

Requirements

  • 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.

Nice to have

  • 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.
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This listing is sourced directly from Litmus IO's careers page and normalized into a canonical job model.