🛠 Tech Stack

💼 About This Role

You'll architect and lead the infrastructure strategy for a next-generation Production ML platform on Google Cloud at Point Wild, building the paved road for engineers to automate model deployment and complex networking. You'll drive elastic, secure, and resilient systems for high-performance ML workloads.

🎯 What You'll Do

• Design and deploy elastic GCP infrastructure for ML workloads
• Build CI/CD pipelines for training, testing, and deploying ML models
• Implement observability for model drift, latency, and performance
• Bridge gaps between data, ML, backend, and frontend engineers

📋 Requirements

• 8-10+ years in DevOps/Platform Engineering
• 2+ years operating production ML workloads
• Deep GCP and GKE experience with Terraform and Istio
• Expertise in Kubernetes and containerization tools

✨ Nice to Have

• ML Observability experience with model accuracy monitoring
• Ansible for cluster bootstrap and recovery
• CKA/CKS or GCP certifications

🎁 Benefits & Perks

• 🚀 Solve real customer problems with immediate impact
• 📈 Accelerate your career in a growth-oriented environment
• 🤝 Work with talented people at an inclusive company

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 90 min
4. 4Offer· 30 min