🛠 Tech Stack

💼 About This Role

You'll ensure the stability, performance, and security of our Federal region's cloud platform. You'll manage infrastructure with a focus on availability and incident response while maintaining a FedRAMP-compliant environment.

🎯 What You'll Do

• Collaborate with engineering teams to ensure reliability and security of Federal infrastructure
• Design and scale AI/ML/LLM infrastructure across AWS, Azure, or GCP
• Manage and optimize Kubernetes environments for AI services and data pipelines
• Participate in 24x7 on-call rotations and lead incident response

📋 Requirements

• 8+ years in SRE, DevOps, Platform Engineering, MLOps, or Cloud Infrastructure roles
• 4+ years production experience with Kubernetes (EKS, GKE, AKS) and Docker
• Strong programming skills in Python and proficiency in Bash, Go, or PowerShell
• Proficiency with Infrastructure-as-Code tools (Terraform, CloudFormation)

✨ Nice to Have

• Cloud certifications (AWS, Azure, or GCP)
• Experience with agentic AI frameworks (CrewAI, LangGraph, AutoGen)
• Background in hybrid or on-prem AI deployments including OpenShift or Rancher

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health insurance
• 💰 Equity
• 🏠 Remote work
• 📚 Learning budget

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min