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