Cloud Platform Engineer

Avride • Austin, TX

64d

About The Position

Our company is at the forefront of developing autonomous driving technology, which involves processing massive datasets collected by self-driving vehicles as they navigate real-world environments. These datasets are crucial for machine learning and algorithm testing. We utilize Kubernetes as the platform to run these processes. Our Cloud Platform team is responsible for deploying and maintaining Kubernetes clusters and related infrastructure in both cloud and on-premises (bare metal) environments.

Requirements

• Experience in administering production K8s clusters.
• Understanding of the internal workings of K8s.
• Experience using K8s at a user level, with the ability to deploy applications and diagnose issues.
• Familiarity with Infrastructure as Code tools and the GitOps approach.
• Experience with cloud technologies.

Nice To Haves

• Proficiency in coding with Python or Go at a middle developer level.
• In-depth knowledge of the Linux Kernel and network stack.
• Familiarity with software-defined storage, such as Ceph.
• Experience with GPU (Nvidia) virtualization technologies.
• Experience deploying K8s clusters from scratch.
• Experience writing K8s operators.

Responsibilities

• Support and develop large K8s clusters (each with over 100 nodes).
• Dive into research on approaches to enhance the stability of Linux and K8s as platforms for big data processing tasks.
• Participate in creating new on-premises and cloud installations.
• Develop deployment tools for internal users.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees