Site Reliability Engineer (m/f/d)

About VervericaVerverica, founded by the original creators of Apache Flink™, empowers businesses to unlock the full potential of real-time data processing and analytics. Our platform provides cutting-edge stream processing and event-driven applications, enabling companies worldwide to build scalable and reliable data-driven solutions.Role OverviewAs a Site Reliability Engineer (SRE) at Ververica, you will design, provision, and maintain the infrastructure for Ververica's Unified Streaming Data Platform across multiple cloud providers, including AWS, GCP, and Azure. You will collaborate with software engineering teams to develop solutions that enhance feature delivery, optimize performance, and address security vulnerabilities. Your role will involve architectural improvements, implementation ownership, and driving reliability best practices.Key Responsibilities Build and maintain the infrastructure for Ververica's Unified Streaming Data Platform across AWS, GCP, and Azure Design and manage Infrastructure as Code (IaC) using Terraform, ensuring modularity, reusability, and best practices Implement and enhance observability tooling, including Grafana, Prometheus, logging systems, traces, metrics, dashboards, and alerts Ensure system reliability through SRE best practices, including defining SLIs, SLOs, and error budgets Improve infrastructure architecture and engineering efficiency through continuous evaluation and optimization Enhance CI/CD pipelines to automate development workflows Monitor, identify, and resolve security vulnerabilities (CVE updates and security enhancements) Contribute to the successful development and launch of new products, features, and services Periodically participate in on-call rotations to manage incidents in a 24/7 live infrastructure Maintain and update documentation, including architectural designs and changes Requirements Bachelor's degree in Computer Science, Information Technology, or a related field Minimum 2 years of hands-on experience with Kubernetes clusters, Helm charts, controllers, and operators Proficiency in designing and maintaining Terraform code with best practices Strong knowledge of observability tools and practices, including metrics, logging, and alerting systems Experience implementing SRE principles such as SLIs, SLOs, and error budgets Solid understanding of Linux systems and networking in cloud environments Hands-on experience managing multiple Kubernetes clusters Familiarity with distributed systems or streaming data platforms Knowledge of cloud-native security best practices