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Cloud Platform Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Avride
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Cloud Computing, SRE/Site Reliability, Systems Engineer, Data Engineer
Job Description & How to Apply Below

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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 Kubernetes clusters (each with over 100 nodes)
  • Dive into research on approaches to enhance the stability of Linux and Kubernetes as platforms for big‑data processing tasks
  • Participate in creating new on‑premises and cloud installations
  • Develop deployment tools for internal users
Requirements
  • Experience in administering production Kubernetes clusters
  • Understanding of the internal workings of Kubernetes
  • Experience using Kubernetes at a user level, with the ability to deploy applications and diagnose issues
  • Familiarity with Infrastructure as Code tools and the Git Ops approach
  • Experience with cloud technologies
Nice to Have
  • Proficiency in coding with Python or Go at a mid‑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 technology
  • Experience deploying Kubernetes clusters from scratch
  • Experience writing Kubernetes operators
Senior‑Level Details
  • Seniority level:
    Mid‑Senior level
  • Employment type:

    Full‑time
  • Industry: Technology, Information and Internet

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