Robotics DevOps Engineer - CI/CD, Kubernetes, Automation

Rivr; Zürich; Presencial; CHF 90 000 - 150 000; Tempo integral

Resumo da oferta

RIVR, part of Amazon, in Zurich, is seeking a mid-level DevOps Engineer to build reliable infrastructure and CI/CD pipelines for robotics software deployed on our wheeled-legged platforms. You will partner with software and robotics engineers to automate infrastructure, ensure security, and enable rapid iteration in a highly collaborative environment.

The role focuses on containerization with Docker and Kubernetes, observability, and deployment automation.

Qualificações

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

Responsabilidades

• Build and maintain CI/CD pipelines for robotics software deployment.
• Work closely with software and robotics engineers to automate infrastructure.
• 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 to share knowledge across the team.

Conhecimentos

CI/CD pipelines

Docker

Kubernetes

Git

CMake

Formação académica

Bachelor's degree in Computer Science/Engineering

Ferramentas

Jenkins

GitLab CI

GitHub Actions

Terraform

CMake

Descrição da oferta de emprego

RIVR, part of Amazon, in Zurich, is seeking a mid-level DevOps Engineer to build reliable infrastructure and CI/CD pipelines for robotics software deployed on our wheeled-legged platforms. You will partner with software and robotics engineers to automate infrastructure, ensure security, and enable rapid iteration in a highly collaborative environment.

The role focuses on containerization with Docker and Kubernetes, observability, and deployment automation.