Platform / Infrastructure Engineer

About the Role

Our AI agents run 24/7 in live business environments where downtime means lost revenue. You'll build and maintain the infrastructure that deploys, scales, and monitors our agents across dozens of client environments — keeping everything fast, reliable, and observable.

What You'll Do

• Design and manage cloud infrastructure for deploying AI agents at scale (AWS/GCP)
• Build CI/CD pipelines for rapid, reliable agent deployment across multiple client environments
• Implement monitoring, alerting, and observability systems for agent health and performance
• Manage containerized workloads and orchestration (Docker, Kubernetes)
• Optimize infrastructure costs while maintaining 99.999% uptime targets
• Build tooling for multi-tenant agent isolation, configuration management, and secret handling

What We're Looking For

• 3+ years of experience in infrastructure, DevOps, or platform engineering
• Strong experience with cloud platforms (AWS or GCP)
• Proficiency with infrastructure-as-code (Terraform, Pulumi, or CloudFormation)
• Experience with container orchestration (Kubernetes, ECS)
• Solid understanding of networking, security, and Linux systems
• Comfort with on-call responsibilities and incident response

Nice to Have

• Experience scaling ML/AI workloads (GPU management, model serving)
• Familiarity with edge computing or IoT device management
• Experience with multi-tenant SaaS architectures
• Background in high-availability systems for mission-critical applications