Kiefer Tech, the technology arm of Kiefer, brings over 12 years of engineering heritage from the Green Energy sector to deliver AI, robotics, and enterprise solutions across Greece and the EU. We build sovereign AI infrastructure that keeps data within EU borders and collaborate with NVIDIA to advance AI technology in robotics. This position is for a DevOps Engineer to design, build, and scale automated CI/CD pipelines for safe Over-The-Air (OTA) software and firmware updates to robots in the field. You will containerize and optimize complex AI workloads and ROS2 environments using Docker for deployment on edge hardware (NVIDIA Jetson platforms), and configure lightweight container orchestration (K3s/Kubernetes) for resource-constrained edge servers and lab infrastructure. You will establish automated, resilient data-ingestion pipelines to stream high-density field data updates back to local servers and support the simulation infrastructure to ensure a smooth automated data pipeline. Requirements include 3–5 years of hands-on DevOps/MLOps experience in Linux-heavy environments, proven experience with automated deployment loops and container production environments (Docker, Kubernetes), familiarity with edge computing, embedded hardware interfaces, or network data streaming protocols (MQTT, gRPC), strong scripting in Python and Bash, and fluency in Greek and English. Nice-to-have items include direct experience with NVIDIA Jetson platforms and a background or strong interest in robotics or physical AI technologies. We offer compensation upper-quartile for the Greek market, o

Kiefer Tech, the technology arm of Kiefer, brings over 12 years of engineering heritage from the Green Energy sector to deliver AI, robotics, and enterprise solutions across Greece and the EU. We build sovereign AI infrastructure that keeps data within EU borders and collaborate with NVIDIA to advance AI technology in robotics. This position is for a DevOps Engineer to design, build, and scale automated CI/CD pipelines for safe Over-The-Air (OTA) software and firmware updates to robots in the field. You will containerize and optimize complex AI workloads and ROS2 environments using Docker for deployment on edge hardware (NVIDIA Jetson platforms), and configure lightweight container orchestration (K3s/Kubernetes) for resource-constrained edge servers and lab infrastructure. You will establish automated, resilient data-ingestion pipelines to stream high-density field data updates back to local servers and support the simulation infrastructure to ensure a smooth automated data pipeline. Requirements include 3–5 years of hands-on DevOps/MLOps experience in Linux-heavy environments, proven experience with automated deployment loops and container production environments (Docker, Kubernetes), familiarity with edge computing, embedded hardware interfaces, or network data streaming protocols (MQTT, gRPC), strong scripting in Python and Bash, and fluency in Greek and English. Nice-to-have items include direct experience with NVIDIA Jetson platforms and a background or strong interest in robotics or physical AI technologies. We offer compensation upper-quartile for the Greek market, o