Lead AIOps Engineer

Core Responsibilities:

Architecting the Future

AI-Native Operations & Infrastructure You will lead the deployment of our Generative AI infrastructure, moving beyond "support tickets" toward self-service automation and agentic resolution.

• Model Orchestration: Manage routing and orchestration for frontier models (Claude/Claude Code, Gemini, OpenAI) and open-source/distilled models (Deep Seek, Qwen, Kimi) using tools like LiteLLM, AWS Bedrock, and n8n
  .
• Agentic Frameworks & RAG: Build retrieval-augmented generation (RAG) systems and agentic workflows that integrate with our internal knowledge base to streamline operations.
• Developer
  
  Experience:
  
  Enable the engineering team by integrating AI-driven CLIs and IDEs (Claude Code, Cursor, Codex) directly into the daily workflow.
• Infrastructure as Code (IaC): Treat the entire corporate and product environment as a codebase. You will own the design, reliability, and security of these environments using Terraform, Pulumi, Clawd Bot, or Devpod
  .
• Cloud-First Architecture: We are an AWS-primary shop, but you must possess the versatility to operate across GCP and Azure as needed. You will architect serverless, high-availability environments that scale.
• SaaS Integration: Act as the integration engineer for our core stack (Salesforce, Hub Spot, Linear, Notion, Google Workspace, Pave). If it has an API, you will automate it.

• Security-First Architecture: Wear a tin foil hat and partner with our internal Red Teams to implement Zero-Trust networking and secure build pipelines. You understand why low-latency environments matter for cracking and why security must be woven into the fabric of the architecture.
• Identity Access Management (IAM): Architect and automate the access management stack (Okta/Google Workspace/SSO). You will build the guardrails that allow rapid onboarding and access without sacrificing security.
• Offensive Tooling Support: Architect high-performance computing (HPC) and specialized networking environments specifically tailored for deep-tier penetration testing and adversarial simulations.

• The "Lead-by-Doing" Mandate: You are accountable for the "last mile" of execution. You will write code, configure VPCs, and debug CI/CD pipelines alongside a small, elite team.
• "Invisible IT" Execution: You are responsible for creating a friction-free employee experience—minimizing human intervention for access, hardware provisioning, and compliance.
• Scalability & Performance: Ensure internal systems can handle massive data requirements and rapid growth without sacrificing performance.

We prioritize High Agency and Individual Drive over years of tenure. We want the person who builds side projects for fun.

• Relentless Autodidact: You don't wait for a training manual. You have a proven track record of pioneering new ideas and turning technical innovation into production-ready action.
• Polyglot Engineer: Deeply proficient in Python or Go
  . You are comfortable navigating complex APIs, custom integrations, and low/no-code platforms to bridge gaps.
• Cloud Native Mastery: Expert-level experience in AWS (Primary), with working knowledge of Azure/GCP. Specifically skilled in serverless architectures, Kubernetes, and automated provisioning.
• AI Pragmatist: You understand the difference between AI hype and high-utility automation. You have experience with AI/ML frameworks (
  Lang Chain, CrewAI, Auto Gen, OpenAI SDK
  ) and implementing secure AI usage policies.
• MacOS & Device Engineering: Deep experience with macOS device management (MDM) and open-source software like Munki.

• Automation Obsession: A consistent drive to review the current state and identify ways to automate and reduce friction.
• Guardrail Construction: Building systems that prevent colleagues from accidentally granting too much access while keeping data secure.
• Exceptional Rapport: The ability to make novice users comfortable asking for help while giving experienced engineers confidence in your technical abilities.