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Kubernetes DevOps Engineer at Aranya.tech
Jack and Jill AI
- United States
- United States
About
Join Aranya.tech to build ClusterdOS, a GitOps-native distributed operating system making Kubernetes accessible for the inference era. You will architect and maintain production-grade clusters across bare metal and cloud environments, bridging the gap between complex distributed systems and user-friendly computing. This is a high-impact role at a technical, founder-led startup. Location: San Francisco, USA Why This Role Is Remarkable
Work on the cutting edge of AI infrastructure by building a distributed OS designed specifically for the next generation of GPU inference companies. Join a high-caliber technical team founded by MIT alumni at a seed-stage startup with early production traction and strong venture backing. Influence the core architecture of a platform aiming to make distributed computing as accessible as personal computers were in the previous era. What You Will Do
Build and orchestrate production Kubernetes clusters from scratch across bare metal, cloud, and hybrid environments with a focus on high-performance GPU workloads. Design and implement robust GitOps workflows using ArgoCD and Ansible to manage the full lifecycle of distributed infrastructure for global customers. Debug complex distributed systems issues under pressure and maintain an observability stack using Loki, Grafana, Tempo, and Mimir (LGTM) to ensure zero-downtime upgrades. The Ideal Candidate
Possesses deep Kubernetes expertise, including experience building clusters from the ground up rather than simply deploying to existing managed services. Has a strong foundation in Infrastructure-as-Code and GitOps methodologies, specifically with tools like ArgoCD, Ansible, and GitLab CI. Is comfortable managing bare metal infrastructure and distributed storage systems like Ceph, ideally with experience in early-stage startup environments.
Languages
- English
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