Junior devops engineer állások, munkák egyetemi végzettséggel

• Drive the continuous development of our embedded software toolchain and build systems, with a strong emphasis on innovation and new feature implementation.
• Collaborate closely with global IT and embedded software teams to understand their needs and translate them into scalable CI/CD solutions.

Kubernetes orchestration: You will be responsible for setting up, operating and optimising our Kubernetes clusters using Rancher and AWS EKS in accordance with current best practices....

• Configuration Management Expert with special focus on the C++ build system with CMake
• Manage and extend the SW build system for C++ according to product development.
• Implement changes, integrate new SW components and build variants.
• Migrate components from make to CMake.

• Operate, maintain, and scale our Linux-based on-premise infrastructure
• Work partly on-site as part of a hybrid work setup, maintaining and supporting on-prem systems
• Manage and expand our Kubernetes-based cloud environments in Europe and China

• Design, implement and continuously improve DevOps concepts, CI/CD templates, pipelines and automation for SAP landscapes (e.g. SAP BTP, S/4HANA)
• Enable reliable build, test and deployment processes across SAP Cloud and on-premise environments

• Standardize Azure architectures and resources using Infrastructure-as-Code — with a strong focus on automation and enabling internal teams through self-service capabilities
• Develop and onboard innovative cloud-based applications as part of Roland Berger's internal digital ecosystem

• Enable and optimize CI/CD practices to ensure reliable, automated software delivery.
• Own and maintain development and test environments, ensuring stability, scalability, and reproducibility.
• Drive automation across build, test, deployment, and release processes.

• 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

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...