Systems Administrator 4, Engineering Operations

Netflix Netflix · Big Tech · United States · Remote · Engineering

This role is for a Systems Administrator focused on optimizing operational efficiency through workflow automation, system streamlining, and API integrations for enterprise applications at Netflix. While the role involves using and understanding generative AI tools and concepts, its core function is not building AI models but rather integrating and managing systems that may leverage AI.

What you'd actually do

  1. Act as a high-responsibility service owner for a broad range of enterprise applications
  2. Relentlessly pursue system and process improvements with a keen eye for how engineering solutions reduce toil and eliminate manual tasks
  3. Administer, manage, and configure a variety of internal tools and SaaS applications such as Google Workspace, Slack, and Zendesk
  4. Design, implement, and maintain scalable and reliable infrastructure to support our services
  5. Develop, test, and deploy API integrations between our platforms and web services

Skills

Required

  • Systems Engineer or similar role experience
  • Systems Specialist or Systems Administrator role experience
  • Managing enterprise software solutions (Slack, Google Workspace, Zendesk)
  • Scripting and programming skills (Python, Go, Java or JavaScript/Node.js)
  • Using APIs to integrate and extend applications
  • Low-code/no-code development platforms (Workato, Okta Workflows)
  • Generative AI tools (Cursor, Claude Code, Claude Cowork, Codex, Gemini, Antigravity)
  • Generative AI concepts (MCP, RAG, context windows, token usage, system prompts, prompt engineering, prompt injection)
  • Identity and access management and authorization concepts (RBAC, SCIM, SAML, OAuth)
  • Cloud platforms (AWS)
  • Microservice architectures
  • Incident management and response
  • Communication & collaboration skills
  • Continuous improvement mindset
  • Relationship cultivation through influence
  • Assessing complex issues and implementing effective solutions

What the JD emphasized

  • 3+ years of experience in a Systems Engineer or similar role OR 3+ years of experience in a Systems Specialist or Systems Administrator role
  • Expertise managing enterprise software solutions like Slack, Google Workspace, and Zendesk
  • Strong scripting and programming skills (Python, Go, Java or JavaScript/Node.js)
  • Experience with using APIs to integrate and extend 1st- and 3rd-party applications
  • Experience with generative AI tools like Cursor, Claude Code, Claude Cowork, Codex, Gemini, and Antigravity
  • Familiarity with generative AI concepts including MCP, RAG, context windows, token usage, system prompts, prompt engineering, and prompt injection