Descripción
1 Senior Cloud Engineer (m/f/x) - Kafka Your Responsibilities * Deploy, operate, and maintain Kafka on Kubernetes using Strimzi across AWS, Azure, and GCP. * Own the Kafka cluster lifecycle: version upgrades, scaling, partition rebalancing, and capacity planning. * Manage topics, users, and ACLs declaratively and keep configuration consistent across the fleet - detecting and preventing configuration drift. * Build pre-release checks and automated quality gates for Kafka changes to catch issues before they reach production. * Contribute to and debug existing Golang-based operators (Operator Framework). * Design and template Helm charts for Kafka and related platform services. * Automate deployments using CI/CD and GitOps principles (ArgoCD). * Collaborate with platform and product teams to provide reliable, scalable event streaming for Dynatrace products. * Participate in troubleshooting and incident resolution for Kafka and related infrastructure services. * Use AI-assisted developer tooling and AIOps to automate toil, speed up troubleshooting, and continuously improve how we build and operate our services. * Continuously improve monitoring and observability for Kafka (broker health, consumer lag, under-replicated partitions).What will help you succeedMust Have: * Proven hands-on experience operating Kafka in production (upgrades, scaling, troubleshooting). * Solid understanding of Kafka internals and distributed-systems fundamentals (partitioning, replication, leader election, consumer groups, delivery guarantees). * Developer-oriented Kubernetes knowledge (less cluster ops, more application/service integration). * Scripting/programming expertise in Bash and Go (or another higher-level language). * Helm proficiency - creating and templating charts. * Familiarity with CI/CD and GitOps workflows (ArgoCD). * Experience using AI-assisted developer tooling (e.g. coding assistants, AI-driven troubleshooting) in your daily engineering work. * Experience with AWS, Azure, o