DevOps Engineer, Robotics

KIEFER

DevOps Engineer building and scaling automation for robotics at Kiefer Tech. Developing AI infrastructure solutions while collaborating on edge server deployment and robotic systems.

Posted 7/27/2026full-timeAthens • 🇬🇷 GreeceMid-LevelSenior💰 €50,000 - €65,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling automated CI/CD pipelines for Over-The-Air software rollouts, with strong capabilities in containerization and orchestration for edge computing environments. Proficient in scripting and automation, ensuring robust data ingestion and simulation infrastructure.

Highest-signal resume keywords

CI/CD Pipeline DesignDocker ContainerizationKubernetes OrchestrationPython ScriptingEdge Computing Familiarity

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Applicant Tracking System Keywords

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Hard Skills

DevOps EngineeringMLOps EngineeringAutomated DeploymentContainer Production EnvironmentsData Streaming Protocols

Soft Skills

Problem-Solving MindsetHigh Autonomy

Tools & Technologies

ROS2NVIDIA JetsonK3sLinux

Industry Keywords

Over-The-Air RolloutsEmbedded Hardware InterfacesNetwork Data Streaming

Tech Stack

Tools & technologies

DockerGRPCKubernetesLinuxPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll 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.

Benefits

Comp & perks

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.