🛠 Tech Stack

💼 About This Role

You'll architect and scale secure infrastructure for deploying AI workloads across cloud and edge environments at webAI, a company building the first distributed AI infrastructure. Your work will directly impact the reliability and efficiency of our AI platform through infrastructure automation and cloud-native technologies. This is a high-impact staff-level individual contributor role driving infrastructure strategy.

🎯 What You'll Do

• Design and automate cloud/edge infrastructure for AI workloads
• Build and maintain production Kubernetes clusters with GPU support
• Implement secure CI/CD pipelines with integrated security controls
• Lead MLOps infrastructure including model deployment and monitoring

📋 Requirements

• 7+ years in DevOps, SRE, or Infrastructure Engineering
• Expert-level Kubernetes (CKA/CKAD preferred) production experience
• 5+ years Terraform or equivalent Infrastructure as Code
• Deep experience with AWS, Azure, or GCP cloud platforms

✨ Nice to Have

• Experience architecting multi-cloud or hybrid cloud environments
• Hands-on experience deploying large language models at scale
• Expertise in Zero Trust architecture for cloud-native apps

🎁 Benefits & Perks

• 🏥 Health insurance
• 🏖️ Unlimited PTO
• 📈 Equity
• 💻 Remote-friendly
• 📚 Learning stipend

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· 4 hours