Cloud Platform Engineer

Top Echelon Software, LLC; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare benefits

Commuter benefits

FSA

Disability and life insurance

401(k)

Generous PTO

Lunch program

Job summary

NGV Talent in Austin, TX is seeking a Cloud Platform Engineer to develop and maintain Linux and Kubernetes platforms for autonomous driving technology. The team manages Kubernetes clusters in cloud and on-prem environments and handles large datasets for ML and testing.

Responsibilities include deploying new installations, building internal deployment tools, and ensuring stability of Linux/Kubernetes stacks for big data workloads in mixed environments.

Qualifications

• Demonstrate experience administering production Kubernetes clusters.
• Strong understanding of Kubernetes internals and operation.
• Experience deploying applications using Kubernetes and diagnosing issues.
• Familiarity with Infrastructure as Code tools and GitOps approaches.
• Experience with cloud technologies.

Responsibilities

• Support and manage large Kubernetes clusters (>100 nodes).
• Research approaches to improve Linux/Kubernetes stability for big data workloads.
• Participate in creating new on-premises and cloud installations.
• Develop deployment tools for internal users.

Skills

Kubernetes

Linux administration

Cloud platforms

IaC / GitOps

Python/Go

Networking

Ceph

GPU virtualization

Tools

Ceph

GPU virtualization

Job description

Job Title:Cloud Platform Engineer
Work Location:Austin, TX
Pay:$120,000 - $170,000 Per Year
Job Type:Direct Hire

Sponsorship:Yes, Company provides visa sponsorship

Job Overview

A leading autonomous mobility company seeks a Cloud Platform Engineer to develop and maintain Linux + Kubernetes platforms for autonomous driving technology. The Cloud Platform team deploys and maintains Kubernetes clusters and related infrastructure in cloud and on-premises (bare metal) environments. The company processes massive datasets from self-driving vehicles to support machine learning and algorithm testing using Kubernetes as the core platform.

Key Responsibilities

• Support and develop large Kubernetes clusters with over 100 nodes each.

• Research approaches to enhance stability of Linux and Kubernetes for big data processing workloads.

• Participate in creating new on-premises and cloud installations.

• Develop deployment tools for internal users.

Requirements

• Demonstrate experience administering production Kubernetes clusters.

• Possess understanding of Kubernetes internal workings.

• Show experience using Kubernetes at a user level, including deploying applications and diagnosing issues.

• Have familiarity with Infrastructure as Code tools and the GitOps approach.

• Exhibit experience with cloud technologies.

Preferred Qualifications

• Demonstrate proficiency in coding with Python or Go at a middle developer level.

• Possess in-depth knowledge of the Linux Kernel and network stack.

• Hold familiarity with software-defined storage such as Ceph.

• Have experience with GPU (Nvidia) virtualization technologies.

• Show experience deploying Kubernetes clusters from scratch.

• Possess experience writing Kubernetes operators.

Benefits

• Employer-subsidized healthcare (medical, dental, vision)

• Pre-tax commuter benefits

• Flexible Spending Account (FSA)

• Employer-covered disability and life insurance

• 401(k) retirement plan

• Generous PTO

• Covered lunches and more