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# Founding Cloud Infrastructure Engineer

- **Company:** AI AGENTS LLC
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Distributed Systems, Fault Tolerance, Python (Programming Language), Apache Spark, Kubernetes, Infrastructure Automation Frameworks, Dask, Apache Kafka, Terraform
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/cloud-infrastructure-engineer-zaimler-8121926

## About the Role

* We're open to multiple levels of seniority (3-10+ years of engineering experience). What matters most is founder mindset + strong infra chops.
 * Hands-on with Kubernetes + Terraform (real-world deployments, not just exposure).
 * Experience with distributed systems (Ray, Dask, Spark, or similar).
 * Exposure to Kafka or equivalent MQ systems.
 * Strong programming/scripting in Python, Go, or similar.
 * Track record of building or operating production-grade infra.
Nice to Haves

 * GPU scheduling/optimization experience.
 * Prior startup/early-stage build-from-scratch experience.
 * Experience supporting ML/AI workloads in production.
 * Founder Traits
 * Excited to own infra end-to-end as the first dedicated hire.
 * Comfort with ambiguity; thrives in fast-moving, collaborative teams.
 * Curiosity + grit: hungry to learn where gaps exist.

## Description

* Architect & Scale Infra: Design and deploy secure, fault-tolerant cloud infrastructure across AWS/Azure/GCP, using Kubernetes, Terraform, and modern IaC tools.
 * Enable Distributed AI Workloads: Build and optimize compute systems for distributed frameworks like Ray and Kafka, ensuring scalability and reliability.
 * GPU Orchestration: Manage GPU resources and scheduling for ML inference, retrieval, and training workloads.
 * Drive Observability & Reliability: Implement monitoring, security, and best practices for high-availability ML/AI systems.
 * Collaborate Across Teams: Work hand-in-hand with ML researchers and data scientists to ensure infra accelerates, not hinders, development.


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