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OP Labs

IT Operations Engineer - OP Labs

6.0/10

OP Labs

Not specified
Remote
mid
29 days ago
aitechGoogle WorkspaceSlackGitHubClaudeJavaScriptPythonGo

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The vacancy is well-defined but lacks compensation details, affecting overall quality.

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Description

What you'll do

  • •Lead the implementation and operation of our IT infrastructure, from hardware to software to AI tooling.
  • •Administer and optimize AI platforms company-wide, including Claude and other LLM-based tools — managing access, usage policies, integrations, and cost controls.
  • •Implement corporate device and application management policies in collaboration with our People and Legal teams, including policies governing AI tool usage and data handling.
  • •Act as the service owner for multiple company-wide SaaS applications, including AI-powered productivity and developer tools.
  • •Act as a solutions architect and strategist for the applications and services OP Labs relies upon, with a forward-looking perspective on where AI fits into our stack.
  • •Lead projects to audit and optimize our SaaS and AI portfolio, focusing on improvements to security, permissions, automation, scalability, end-user experience, and license usage.
  • •Own the setup and upkeep of office collaboration infrastructure, including conference room AV equipment, video calling hardware, and network/WiFi reliability — ensuring remote and in-person Optimists can connect seamlessly.
  • •Develop programs and processes to communicate and drive adoption of new IT product features company-wide, including onboarding Optimists to tools effectively and safely.
  • •Evaluate new tools and capabilities as they emerge, and make recommendations on adoption, consolidation, or deprecation.

Requirements

  • •2+ years of relevant technical experience in system administration or engineering.
  • •Expertise managing Google Workspace and other enterprise productivity applications (e.g., Slack, GitHub).
  • •Hands-on experience administering AI platforms such as Claude (Anthropic), ChatGPT (OpenAI), or similar — including access management, usage monitoring, and policy enforcement.
  • •Ability to plan, manage, code, and support multiple concurrent projects and initiatives.
  • •Strong project and task management skills.
  • •Comfort working in a fast-paced, fully remote environment across teams.
  • •Proficiency in JavaScript, Python, or Go.

Nice to haves

  • •Experience building automations or workflows that incorporate LLM APIs (e.g., Anthropic API, OpenAI API).
  • •Experience working with REST API endpoints leveraging various authentication methods (OAuth, JWT, API keys/secrets, etc.).
  • •Google Professional Workspace Administrator or Professional Collaboration Engineer Certification.
  • •Experience with GCP or other cloud providers.
  • •Slack Admin and/or Developer Certification.
  • •Familiarity with AI security and compliance considerations (data residency, prompt injection risks, shadow AI, etc.).
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