🛠 Tech Stack

💼 About This Role

You'll own and scale cloud infrastructure on AWS, managing Kubernetes clusters and CI/CD pipelines. You'll ensure reliability and performance of production systems supporting AI data pipelines. This role offers direct impact on frontier AI model training infrastructure.

🎯 What You'll Do

• Own cloud infrastructure on AWS (EC2, EKS, RDS, S3, IAM, VPC)
• Manage Kubernetes clusters and container orchestration
• Build and maintain CI/CD pipelines using GitHub Actions
• Implement monitoring, alerting, and observability stacks
• Automate infrastructure with Terraform or similar IaC tools

📋 Requirements

• 3–5 years in DevOps, SRE, or infrastructure engineering
• Strong AWS experience — EKS, EC2, RDS, S3, IAM
• Kubernetes — deployment, scaling, troubleshooting in production
• CI/CD pipelines — GitHub Actions, ArgoCD, or similar

✨ Nice to Have

• Experience supporting ML training workloads or GPU clusters
• Familiarity with distributed computing or large-scale data pipelines
• Open-source contributions or published technical writing

🎁 Benefits & Perks

• 💰 Competitive compensation and meaningful equity
• 🌍 Remote-friendly environment with low bureaucracy
• 🏆 Direct impact on frontier AI model training and evaluation
• 🧠 Small, high-caliber team with deep AI research expertise
• 📚 Health, wellness, and learning & development benefits

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min