• Architect and manage robust CI/CD pipelines for both our embedded software and our machine learning models, ensuring seamless integration, testing, and deployment • Develop and maintain the infrastructure for secure and scalable Over-the-Air (OTA) firmware updates to our fleet of robotic machines deployed in the field • Manage and provision our cloud infrastructure (AWS), ensuring it is repeatable, scalable, and secure • Deploy and manage containerized applications using Docker and Kubernetes • Implement and maintain comprehensive monitoring, logging, and alerting systems to ensure the health, performance, and reliability of our entire stack, from the cloud to the robotic machines themselves • Work closely with our ML, embedded, and software engineering teams helping to define our long-term DevOps and MLOps strategy