Senior DevOps Engineer (Robotics Platform)

Role Summary:

• You are a hands-on Senior DevOps Engineer responsible for the CI/CD backbone, Linux platform, and deployment infrastructure of our Autonomous Mobile Robot (AMR) software platform.
• This role combines CI/CD and platform engineering, Linux and container-based systems, and infrastructure and deployment across cloud, on-prem, and robots.
• This is a Platform Engineer role working across cloud, edge, and robotics environments.

Core Candidate DNA:

• You are a strong platform and Linux engineer first.
• You have deep CI/CD ownership.
• You are a system thinker focused on end-to-end delivery including build, package, deploy, and operate.
• You have a hands-on mindset with approximately 70 percent execution.

Must-Have Skills:

• Strong Linux expertise including Ubuntu, Debian, and system-level debugging.
• CI/CD experience with GitHub Actions for complex pipelines.
• Experience with Docker and multi-container systems including build, debug, and optimize.
• Infrastructure as Code experience with Terraform, Ansible, and Packer.
• Scripting proficiency in Bash and Python.
• Networking fundamentals including TCP/IP, DNS, TLS, and VPN.

Nice-to-Have Skills:

• Experience with Robotics, ROS, IoT, or Edge systems.
• Experience with Debian packaging or Linux distribution customization.
• Experience with Kubernetes or AWS EKS.
• Experience with observability stacks including Grafana, Loki, and InfluxDB.
• Experience with security and compliance including SBOM and vulnerability management.

Responsibilities:

• Own CI/CD pipelines and artifact lifecycle.
• Build and maintain Docker-based robot platform stacks.
• Drive deployment automation for robot fleets and customers.
• Improve infrastructure reliability and scalability.
• Debug complex cross-stack issues involving CI/CD, Linux, containers, and field operations.

Candidate Background:

• Platform or DevOps engineers with a strong Linux background.
• IoT, robotics, or edge platform engineers.
• Infrastructure engineers from complex distributed systems.

Key Selling Points:

• Direct impact on real robots in production environments.
• End-to-end ownership from build to deploy to operate.
• High system complexity involving edge, cloud, and robotics.
• High technical freedom and influence.

Location: Porto Salvo, Portugal