• Bindeglied zwischen Entwicklung und IT-Betrieb • Gestaltung, Automatisierung und Optimierung der Build-, Test- und Deployment-Prozesse • Entwicklung einer Container-Plattform • Pflege der IT-Infrastruktur mit klarer Dokumentation • Automatisierung wiederkehrender Aufgaben

• Drive infrastructure standardization and operational excellence by designing and developing scalable automation frameworks in Python that enable consistent and repeatable deployments across cloud and on-premises environments. • Accelerate infrastructure provisioning by building and enhancing Terraform code-generation platforms using Python and Jinja2, enabling teams to produce validated, environment-specific infrastructure code from reusable templates. • Improve system reliability and compliance by developing and maintaining Puppet modules, manifests, and Hiera configurations that manage Linux and Windows environments at scale. • Increase operational efficiency across Windows platforms by creating robust PowerShell automation solutions for server management, Active Directory administration, and hybrid cloud integrations. • Simplify complex infrastructure workflows by developing internal automation tools, command-line utilities, and APIs that empower engineering teams to self-service common operational tasks. • Enhance the speed and safety of infrastructure delivery by integrating automation frameworks with CI/CD pipelines, enabling automated validation, testing, and deployment of infrastructure changes. • Improve software quality and reduce deployment risk by implementing comprehensive testing strategies for infrastructure code, including unit testing, linting, and integration testing. • Partner closely with cloud, platform, and application teams to identify manual processes, eliminate operational toil, and drive automation-first solutions across the organization. • Enable long-term scalability and maintainability by creating clear documentation, standards, and runbooks for automation frameworks and infrastructure templates. • Contribute to a strong engineering culture by participating in code reviews, sharing best practices, and continuously improving the quality, security, and maintainability of automation solutions.

• Design, implement, and operate scalable, secure, and highly available AWS cloud infrastructure leveraging services such as EC2, EKS, ECS, RDS, S3, VPC, Lambda, and IAM. • Drive the reliability and performance of containerized applications by managing Amazon EKS and ECS environments, including cluster operations, networking, scaling, and troubleshooting. • Ensure the stability, security, and efficiency of production Linux environments through system administration, performance tuning, storage management, networking, and incident resolution. • Maintain and optimize relational databases (PostgreSQL, MySQL, Aurora) and NoSQL platforms (DynamoDB, Redis), ensuring high availability, performance, and disaster recovery readiness. • Strengthen the organization's cloud security posture through effective management of IAM, network security controls, secrets management, and compliance best practices. • Enhance platform observability and operational excellence by implementing and improving monitoring, logging, alerting, and performance analytics using CloudWatch, Prometheus, and Grafana. • Take ownership of production incidents by participating in on-call rotations, leading troubleshooting efforts, performing root cause analysis, and driving continuous improvement initiatives. • Partner closely with software engineering, DevOps, and platform teams to improve deployment processes, application reliability, and operational efficiency. • Identify and implement cloud cost optimization opportunities through resource right-sizing, capacity planning, automation, and governance best practices.

• Drive infrastructure standardization and operational excellence by designing and developing scalable automation frameworks in Python that enable consistent and repeatable deployments across cloud and on-premises environments. • Accelerate infrastructure provisioning by building and enhancing Terraform code-generation platforms using Python and Jinja2, enabling teams to produce validated, environment-specific infrastructure code from reusable templates. • Improve system reliability and compliance by developing and maintaining Puppet modules, manifests, and Hiera configurations that manage Linux and Windows environments at scale. • Increase operational efficiency across Windows platforms by creating robust PowerShell automation solutions for server management, Active Directory administration, and hybrid cloud integrations. • Simplify complex infrastructure workflows by developing internal automation tools, command-line utilities, and APIs that empower engineering teams to self-service common operational tasks. • Enhance the speed and safety of infrastructure delivery by integrating automation frameworks with CI/CD pipelines, enabling automated validation, testing, and deployment of infrastructure changes. • Improve software quality and reduce deployment risk by implementing comprehensive testing strategies for infrastructure code, including unit testing, linting, and integration testing. • Partner closely with cloud, platform, and application teams to identify manual processes, eliminate operational toil, and drive automation-first solutions across the organization. • Enable long-term scalability and maintainability by creating clear documentation, standards, and runbooks for automation frameworks and infrastructure templates. • Contribute to a strong engineering culture by participating in code reviews, sharing best practices, and continuously improving the quality, security, and maintainability of automation solutions.