Experienced Cloud Engineer - Touchpoint Advanced Analytics (m/f/d)

Your tasks

• Membership in the Touchpoint Analytics Platform Team responsible for the development, maintenance, and operation of highly scalable data processing systems hosted on GCP
• Significant influence on data infrastructure architecture solutions in accordance with enterprise architecture principles and coding standards
• Ensure reliable delivery of infrastructure improvements and platform enhancements
• Help manage our backlog focusing on infrastructure stability, monitoring, and system performance
• Build and maintain our data platform infrastructure using Infrastructure as Code
• Promote infrastructure best practices and help teams implement them properly
• Support product teams with GCP data platform setup, monitoring solutions, and deployment pipelines
• Actively contribute to our internal cloud infrastructure and platform engineering community
• Implement and maintain monitoring, alerting, and self-healing systems to ensure platform reliability and minimal downtime
• Apply Site Reliability Engineering (SRE) principles to improve system resilience and automate operational tasks
• Develop and optimize CI/CD pipelines for infrastructure and data platform deployments

Your profile

• Strong interest in secure, highly scalable, multi-region data processing and analytics systems
• Fundamental knowledge of data architectures, streaming protocols, and distributed systems (desirable)
• Profound expertise in configuration and maintenance of GCP data platform services (Dataflow, PubSub, BigQuery) using Infrastructure as Code
• Mandatory experience with Terraform for infrastructure provisioning and management
• Familiarity with common data engineering and DevOps technologies (Kubernetes, GitHub, Apache Beam, GitOps, etc.)
• Experience with monitoring and observability tools like Grafana, Prometheus, alerting systems (PagerDuty, OpsGenie), and performance optimization with focus on SLI/SLO definition and implementation
• Good knowledge of programming languages, especially Python and Java, for infrastructure automation and tooling
• Experience with data platform operations, monitoring, and troubleshooting
• Experience in cross-functional teams within agile enterprise environments (advantageous)
• Fluency in English (German language skills are a plus)
• Strong DevOps mindset with hands-on experience in CI/CD pipeline development and automated deployment strategies
• Solid understanding of Site Reliability Engineering (SRE) principles including error budgets, incident response, and post-mortem culture
• Experience with automated remediation and self-healing systems to reduce manual operational overhead
• Proficiency in container orchestration and service mesh technologies (Docker, Kubernetes, Istio) for scalable platform operations