AI-Integrated IT & Ops Engineer (Agentic Infrastructure)

[Key Responsibilities]

• Agent Enablement & Skill Building: Write Python/Bash scripts and clear, context-dense Markdown documentation (Skills) to teach our local AI agents how to manage our IT environment, provision accounts, and orchestrate cloud resources.

• Infrastructure Management: Maintain our AWS EC2 instances, Docker sandbox environments, Tailscale private networks, and Linux system configurations (Systemd, permissions, namespaces) to ensure a secure operating environment for our agents.

• Corporate IT & Lark/Feishu Admin: Oversee corporate IT operations, but primarily by delegating tasks to our AI assistants through custom API integrations and webhook events.

• Escalation & Troubleshooting: Jump into the terminal when the AI agents fail. Debug complex networking, API timeout, and Linux permission boundary issues (the "90% Linux sysadmin, 10% prompt engineering" reality of production AI).

• Security & Zero-Trust: Enforce strict sandbox boundaries, API whitelists, and process isolation (e.g., Tmux execution rules) to ensure autonomous agents cannot compromise the host system.

[Requirements]

• 3+ years of experience in DevOps, IT Operations, Sysadmin, or Site Reliability Engineering.

• Strong hands-on experience with AWS, Linux (Ubuntu/Debian), Docker, and Git.

• Experience with internal corporate software administration (Feishu/Lark, Google Workspace, Slack, etc.).

• Familiarity with modern AI tools, APIs (OpenAI, Anthropic, Gemini), and a deep curiosity for multi-agent systems and Agentic OS architectures.