Cloud Platform Engineer for Autonomous Driving Technology
7 days ago
About Avride
At Avride, we're at the forefront of developing cutting-edge autonomous driving technology. Our innovative solutions rely on processing massive datasets collected by self-driving vehicles as they navigate real-world environments.
We utilize Kubernetes to run these processes and are seeking a skilled engineer to join our Cloud Platform team in deploying and maintaining Kubernetes clusters and related infrastructure in cloud and on-premises environments.
Key Responsibilities:
- Support and develop large-scale Kubernetes clusters with over 100 nodes.
- Conduct research on approaches to enhance Linux and Kubernetes stability for big data processing tasks.
- Collaborate in creating new on-premises and cloud installations.
- Design deployment tools for internal users.
Requirements:
- Proficiency in coding with Python or Go at a middle developer level.
- Experience using Kubernetes at a user level, with application deployment and issue diagnosis skills.
- Production-level experience in administering Kubernetes clusters.
- Understanding of Kubernetes internal workings.
- Familiarity with Infrastructure as Code tools and the GitOps approach.
- Cloud technology expertise.
Preferred Qualifications:
- Deploying Kubernetes clusters from scratch.
- Kubernetes operator development.
- In-depth knowledge of the Linux Kernel and network stack.
- Software-defined storage familiarity, such as Ceph.
- GPU virtualization technologies experience.
What You'll Get:
As a Cloud Platform Engineer at Avride, you can expect an estimated salary of $120,000 per year, depending on location and experience. We offer a dynamic work environment that fosters innovation and growth opportunities. If you're passionate about autonomous driving technology and have the skills to match, apply now.
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