Kubernetes Jobs in Salzburg

You shape the SPAR Azure Cloud Platform through Infrastructure as Code, develop CI/CD pipelines, support the team with knowledge transfer, and actively document the cloud infrastructure lifecycle.

In this role, you integrate new applications into our IT environments, automate processes using Bash or Python, and analyze disruptions in Windows and Linux systems to find efficient solutions.

In this role, you will develop and scale the infrastructure for AI and ML applications, automate Kubernetes deployments, and optimize large-scale ML models using modern tools like Ray and Prometheus.

In this role, you will develop the SPAR Azure Cloud Platform using Infrastructure as Code and CI/CD toolchain, document the lifecycle of cloud infrastructure, support internally for cloud solutions, and implement APIs.

In this role, you will operate OpenShift clusters in an enterprise environment, support development teams with best practices, and ensure the implementation of GitOps processes and compliance with security requirements.

In this role, you will develop scalable cloud infrastructures, optimize DevOps processes, and work on integrating identity solutions. You will also focus on automation, incident management, and sharing knowledge within the team.

In this role, you will operate OpenShift clusters, support development teams with troubleshooting, implement GitOps processes, ensure compliance and security requirements, and maintain documentation.

In this role, you will work on the development of the Orchestra eHealth Suite, coordinate technical services, and implement customer requirements while applying agile methods like Pair Programming and Clean Code within the team.

In this role, you will develop and modernize web applications for the cloud, integrate APIs and services, optimize data structures, and collaborate with experts on scalable technical solutions.

In this role, you will develop infrastructure for AI applications, including Kubernetes deployments, automated ML workflows, and optimization of large-scale models; collaborating closely with Data Scientists and implementing monitoring solutions.