Cloud Platform Engineer

Posted 7 Days Ago
Austin, TX
In-Office
Mid level
Information Technology • Robotics
Let us do the driving
The Role
The role involves supporting and developing large Kubernetes clusters, enhancing the stability of Linux and Kubernetes, and creating installations in both cloud and on-premises settings.
Summary Generated by Built In
About the Team

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.

About the Role

We are seeking an Engineer to join our efforts in developing and maintaining a Linux + Kubernetes platform for autonomous driving technology development. You will be tasked with finding innovative solutions to enhance the stability of Kubernetes with our specific workloads, and you will play a key role in deploying new sites both in the cloud and on-premises.

What You'll Do
  • 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 You'll Need
  • 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 Have
  • 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.

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.

Top Skills

Ceph
Gitops
Go
Infrastructure As Code
Kubernetes
Linux
Nvidia
Python
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The Company
HQ: Austin, TX
236 Employees
Year Founded: 2020

What We Do

Avride is a leading developer in the autonomous vehicle and delivery robot industry.

Our dynamic team, composed of a few hundred engineers develops and operates autonomous cars and delivery robots across the globe, shaping the future of mobility and logistics.

At Avride, we are committed to making the roads safer and more accessible for everyone. At the core of our philosophy is the belief in the transformative power of technology. Every product we develop, every test we conduct, and every service we launch is anchored in our vision of creating a safer and more sustainable world with help of cutting-edge technologies and breakthrough solutions

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