Devops engineer állások, munkák rendszergazda kategóriában

örömmel üzemelteted és fejleszted a cég infrastruktúráját, legyen szó szerverekről, hálózati eszközökről vagy virtualizációs környezetről (Linux, Windows, Proxmox, Cisco, Cumulus, Fortigate);...

Building and maintaining infrastructure for large-scale data and video streaming platforms Supporting development teams by making deployments easier, faster, and more reliable Improving security by helping to monitor and prevent potential risks Enhancing observability through monitoring, logging,...

• You are part of a team who is responsible for the global infrastructure services (planning, design, installation and administration)
• You ensure the proper service delivery of the entitled end to end services (network infrastructure, Storage, Server, VM, interfaces, 芒聙娄)

• Operate, maintain, and further develop cloud-managed Kubernetes clusters
• Build, maintain, and continuously improve CI/CD pipelines using GitLab CI
• Develop and maintain infrastructure as code using Terraform, Ansible, and Helm
• Automate operational tasks and improve developer workflows

Senior DevOps Engineer 80 - 100 % (w/m/d) For more than 70 years, Hamilton Medical has shaped the future of mechanical ventilation. We develop intelligent ventilation solutions that support clinicians in critical moments. Our HAMILTON ventilators are used in intensive care units, during emergency...

Leading/delivering major projects Coordinating release activities Analysing test data to support quality improvements Supporting software developers in using the platform Driving more efficient build and test automated pipelines Supporting and contributing to new developer workflows such as Product...

Design, develop, and maintain cloud infrastructure solutions for SaaS/PaaS products using Infrastructure as Code (IaC) principles Implement and optimize CI/CD pipelines to enable efficient software delivery Create and maintain APIs and automation scripts to streamline infrastructure management...

Model Onboarding & Deployment: Take AI models from internal and external users into production inference workflows. Package and deploy models as containerized inference endpoints. Define and operate validation gates covering functional checks, performance benchmarks, and safety/​security...