You will work on customer projects, developing and implementing modern and scalable cloud infrastructures on platforms such as AWS, Azure, or GCP.
You will work closely with data and AI teams as well as customers to understand requirements and translate them into robust infrastructure and architecture concepts.
You automate infrastructure and deployments using Infrastructure-as-Code solutions such as Terraform, Pulumi, or similar tools.
You develop automation solutions and scripts in Bash or Python, for example for provisioning, monitoring or the integration of APIs.
You will be involved in the setup and operation of CI/CD pipelines for infrastructure and applications.
You will support the monitoring, logging, and cost optimization of cloud environments using common tools and cloud-native solutions.
You analyze and resolve infrastructure and performance problems and contribute to stable and efficient system landscapes.
You contribute to technical concepts, documentation and customer presentations, and support the structured preparation of solutions.
You actively participate in internal knowledge sharing and continuously develop your professional skills.
Your profile
You have practical experience with at least one cloud platform such as AWS, Azure or GCP and have productively developed, deployed and operated applications or services.
You have good knowledge of Bash and/or Python and actively use it for automation, scripting, and API integration.
You are proficient in using Linux-based systems and have solid knowledge of shell and Bash scripting.
You have experience with containers like Docker and a basic understanding of Kubernetes.
You are familiar with common cloud security best practices and are able to apply them in projects.
Ideally, you have some initial experience with Infrastructure-as-Code tools such as Terraform, Pulumi, or similar solutions.
Ideally, you have some initial experience with CI/CD tools such as GitHub Actions, GitLab CI, or Azure DevOps.
Experience in monitoring and observability, for example with Prometheus, Grafana or similar tools, is an advantage.
Basic knowledge of network concepts such as VPCs, subnets, routing and security groups is a plus.
Knowledge of data or AI infrastructure, such as data pipelines or MLOps, is an additional advantage.
Experience in developing applications in Python is a plus.
You see yourself as a hands-on engineer, work pragmatically and implement things independently.
You bring a builder and hacker mindset and find solutions even when there are no pre-made approaches.
You work in a structured, independent and solution-oriented manner and maintain an overview even with more complex tasks.
You communicate clearly and enjoy working in a team as well as with technical and professional stakeholders.
You have very good English skills, at least at C1 level, and good German skills, at least at B2 level, and are willing to further develop these skills.