🛠 Tech Stack

💼 About This Role

You'll own the full technical lifecycle of enterprise client deployments, from assessing infrastructure to production operations. You'll design and provision environments using Terraform across GCP, AWS, and Azure while working directly with client DevOps teams. This role stands out because you'll shape integration architecture for AI-powered platforms at a top digital agency.

🎯 What You'll Do

• Assess client cloud infrastructure and design integration plans
• Provision client environments using Terraform across GCP, AWS, or Azure
• Deploy and operate LLM inference pods in client cloud environments
• Manage data pipeline deployments including scheduling and retry logic
• Lead technical working sessions with client DevOps teams

📋 Requirements

• 6+ years of cloud engineering experience with GCP, AWS, or Azure
• Deep Terraform experience provisioning multi-environment, multi-tenant infrastructure
• Production Kubernetes and Helm experience deploying and securing workloads
• Hands-on data pipeline experience with retry and backoff logic

✨ Nice to Have

• Experience with LLM inference infrastructure
• Experience with marketing technology stacks (DAM, CDP, CRM)
• Cloud certification (AWS Solutions Architect, GCP Professional Cloud Architect, or Azure)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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