Focus állások, munkák rendszerüzemeltető kategóriában

• 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

• Operating and extending technical and structural infrastructure components for highly secure environments, both for internal platforms and customer-facing projects
• Supporting security accreditation processes and administrating relevant systems and security technologies

• Holistic technical support and housekeeping of the SAP system environment
• Management of transport systems, job scheduling, and system copies
• Responsibility for certificate management and interface monitoring
• Management of output connections and coordination of the authorization system

• Develop and maintain the CI/CD infrastructure for the Gardener project.
• Collaborate with the development team to understand their needs and ensure the CI/CD pipelines meet these needs.
• Troubleshoot and resolve any issues with the CI/CD pipelines.

• 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.

• 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

• Research, design, and implement complex product features and functionalities for cutting-edge cloud technologies as part of SAP Business Technology Platform
• Commit to project timelines and tasks, deliver on time, in scope, and with high, uncompromised quality

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• Ensure an excellent customer experience in close collaboration with our customers and partners
• Support our customers and partners to solve problems and ensure a noticeable top-level satisfaction
• Continuous improvement of our support quality and infrastructure

• You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
• Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.

You will represent SAP Global Cloud Operations in front of major SAP customers in the region MEE for technology and operations topics i.e. the face of SAP Global Cloud Operations....

You will represent SAP Global Cloud Operations in front of major SAP customers in the region MEE for technology and operations topics i.e. the face of SAP Cloud Operations....

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...

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Ensure we never fail for the same reason twice.
• Go on-call and respond to automated alerts and execute playbooks.

• Close collaboration with the Cloud Architect to design and implement cloud infrastructure solutions
• Building, evolving, and maintaining production grade Azure environments with a focus on automation, security, and reliability

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...

• Continuously learn and adapt to new technologies, frameworks, and tools to enhance development capabilities.
• Participate in infrastructure automation projects and contribute to maintaining high standards of quality and documentation.