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.
Cloud Infrastructure Engineer at zaimler.ai — Series A context infrastructure startup
95% of enterprise AI pilots fail because models lack domain context. zaimler.ai is fixing this by building the context infrastructure for the agentic era. Join as a Founding Cloud Infrastructure Engineer to design the multi-cloud and GPU systems powering the next generation of autonomous AI. You'll work alongside elite veterans from LinkedIn and Visa in a high-velocity, Series A environment in San Mateo. If you want to build the infrastructure that the next decade of AI runs on, this is your seat at the table.
Overview
Why this role stands out
Company
Responsibilities
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.
Candidate profile
Who this is a fit for
- 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.
What makes it remarkable
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.
Jack & Jill
How Jack & Jill work together
About Jack & Jill
Meet Jack
Jack gets to know what you are great at, what you want next, and makes sure Jill considers you for the right opportunities.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.