Devops Engineer (Robotics)

About the company: Kiefer Tech , the technology arm of Kiefer , leverages over 12 years of engineering heritage from the Green Energy sector to deliver cutting-edge AI, robotics, and enterprise solutions across Greece and the EU. We build sovereign AI infrastructure that keeps data within EU borders, respect privacy, and delivers tangible business impact. Guided by our core values: innovation, quality, and long-term client partnerships, we create enterprise-grade AI infrastructure, the first true Greek Large Language Models, and intelligent automation solutions that empower organizations to thrive. Our strategic collaboration with NVIDIA combines sustainable infrastructure expertise with world-class AI technology, creating an ecosystem that fosters innovation, strengthens Greece’s technological sovereignty, and generates real impact across industries. Join us and help build the AI-powered world of tomorrow. Job Description WHAT YOU WILL DO Design, build, and scale automated CI/CD pipelines tailored for safe Over-The-Air (OTA) software and firmware rollouts to robots in the field. Containerize and optimize complex AI workloads and ROS2 environments using Docker for deployment on edge hardware (NVIDIA Jetson platforms). Configure and maintain lightweight container orchestration (K3s/Kubernetes) adapted for resource-constrained edge servers and local lab infrastructure. Establish automated, resilient data-ingestion pipelines to stream high-density field data updates back to local servers. Support the simulation infrastructure, ensuring a smooth automated data pipeline WHAT YOU WILL NEED 3–5 years of hands-on DevOps/MLOps engineering experience within Linux-heavy environments. Proven experience building automated deployment loops and handling container production environments (Docker, Kubernetes). Familiarity with edge computing challenges, embedded hardware interfaces, or network data streaming protocols (MQTT, gRPC). Strong scripting and automation capabilities (Python, Bash). Fluency in both Greek and English High autonomy and a problem-solving mindset — able to translate the infrastructure needs of diverse engineers into robust automated systems. NICE TO HAVE Direct experience with NVIDIA Jetson platforms Background or strong personal interest in robotics systems or physical AI technologies. WHAT IS THERE FOR YOU Compensation: upper-quartile for the Greek market; Ownership: Full accountability over the Robotics division's DevOps and Edge MLOps infrastructure — you define the automation standards; Remote: Flexible format: fully remote, or hybrid from our Athens office; AI-Native Environment: Real challenges across physical AI, edge servers, humanoid R&D, and advanced robotics deployment; Growth: Possibility to get training from the Robotics companies; Culture: Engineering-first, high autonomy, low bureaucracy — your infrastructure choices directly shape the fleet's execution capabilities.