Cloud Infrastructure Engineer at zaimler.ai

Cloud Infrastructure Engineer

As the Founding Cloud Infrastructure Engineer, you will build the foundational layer for zaimler's semantic platform from scratch. You will design multi-cloud architectures and GPU infrastructure to power AI agents that reason over complex enterprise data. This high-impact role bridges the gap between raw data and autonomous agentic intelligence at scale.

Location: San Mateo, USA

Why this role is remarkable:

• Rare opportunity to join as a founding engineer, making architectural decisions that will define the company's technical trajectory for years to come.
• Work alongside a world-class senior team featuring the former Chief Architect of Visa and the engineer who built LinkedIn's massive knowledge graph.
• Tackle the "missing middle" of the AI stack by building infrastructure specifically optimized for real-time inference and agentic reasoning rather than simple retrieval.

What you will do:

• Design and operate multi-cloud infrastructure (AWS, GCP, Azure) including VPC networking, IAM/RBAC, and end-to-end Kubernetes orchestration.
• Build and scale distributed ML infrastructure using Ray and Ray Serve to manage GPU scheduling, capacity planning, and model inference endpoints.
• Implement robust GitOps workflows and observability stacks using Terraform, GitHub Actions, Prometheus, and Grafana to ensure production-grade reliability.

The ideal candidate:

• 3–10+ years of infrastructure experience with a proven track record of building production-grade cloud environments and managing Kubernetes at scale.
• Hands-on expertise with distributed ML systems (Ray, Ray Serve) and infrastructure-as-code tools like Terraform, Docker, and Helm.
• Strong programming proficiency in Python or Go with a builder's mindset capable of writing production code alongside infrastructure configuration.