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.
