Robotics DevOps Engineer — CI/CD for Autonomous Robots

Amazon Inc.

Zürich

On-site

CHF 90,000 - 140,000

Full time

19 hours ago
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Job summary

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. We are seeking a mid-level DevOps Engineer to ensure reliable development and deployment of robotics software, focusing on infrastructure, CI/CD pipelines, and observability.

You will work with Docker and Kubernetes, help automate workflows, and implement secure, reproducible build processes while collaborating with software and robotics teams.

Qualifications

  • At least 3 years of experience in DevOps or a related field.
  • Proficiency in containerization (Docker, Kubernetes, etc.).
  • Strong experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
  • Experience with C++ build tools (i.e., CMake).
  • Familiarity with version control systems (Git).
  • Bachelor's or higher degree in Computer Science, Engineering, or a related field.

Responsibilities

  • Build and maintain CI/CD pipelines for robotics software deployment and observability pipelines.
  • Collaborate with software and robotics engineers to automate infrastructure and streamline workflows.
  • Implement best practices for code security, versioning and reproducibility.
  • Manage and maintain development environments, including Docker and Kubernetes.
  • Troubleshoot and resolve infrastructure and deployment issues.
  • Contribute to documentation and guidelines across the team.

Skills

Docker
Kubernetes
CI/CD tools
Git
CMake
Security practices

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform
ROS2
GitHub

Job description

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. We are seeking a mid-level DevOps Engineer to ensure reliable development and deployment of robotics software, focusing on infrastructure, CI/CD pipelines, and observability.

You will work with Docker and Kubernetes, help automate workflows, and implement secure, reproducible build processes while collaborating with software and robotics teams.

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