We are hiring a Senior DevOps Engineer for a global technology company developing cutting-edge Autonomous Mobile Robot (AMR) solutions.

Role Summary:

In this role, you will be responsible for the CI/CD backbone, Linux platform and deployment infrastructure that powers a fleet of Autonomous Mobile Robots (AMRs). You will play a key role in building reliable, scalable and automated deployment processes across cloud, edge and on-premise environments.

You will work closely with the DevOps Tech Lead to improve platform reliability, streamline software delivery and support real-world robotic deployments.

The technology stack includes:

• Linux (Ubuntu/Debian)
• GitHub Actions
• Docker
• Terraform
• Ansible
• Packer
• Bash
• Python
• Networking (TCP/IP, DNS, TLS, VPN)

Key Responsibilities:

• Designing, maintaining and optimizing CI/CD pipelines for robotics software delivery.
• Building and maintaining Docker-based platform environments for robot applications.
• Automating deployment processes across cloud, edge and on-premise environments.
• Managing Infrastructure as Code using tools such as Terraform and Ansible.
• Troubleshooting complex platform, Linux and container-related issues.
• Improving the reliability, scalability and security of the deployment infrastructure.
• Collaborating with software engineering teams to enhance development and release workflows.

Required Qualifications:

• Strong professional experience with Linux administration and system-level troubleshooting.
• Hands-on experience designing and maintaining CI/CD pipelines, preferably with GitHub Actions.
• Solid experience with Docker and containerized applications.
• Experience with Infrastructure as Code using Terraform, Ansible or similar technologies.
• Proficiency in Bash and Python scripting.
• Good understanding of networking fundamentals, including TCP/IP, DNS, TLS and VPN.
• Strong analytical and problem-solving skills with a hands-on approach.

Experience with the following technologies is considered a plus:

• Robotics, ROS or edge computing environments.
• Kubernetes (EKS or similar).
• AWS.
• Debian packaging or Linux distribution customization.
• Grafana, Loki or InfluxDB.
• Security and vulnerability management (SBOM, compliance).