Your role at DynatraceOur team builds and maintains the foundational infrastructure services used across the Dynatrace Platform.We're looking for a Senior Cloud Engineer to join our Platform Infrastructure team with a focus on Kafka. Erhöhen Sie Ihre Chancen auf eine erfolgreiche Bewerbung für diese Stelle, indem Sie sicherstellen, dass Ihr Lebenslauf und Ihre Fähigkeiten gut zueinander passen. You will be working with Kubernetes-native operators to deliver highly available, consistent and observable event streaming for our Kubernetes-based platform — at scale, across hundreds of Kafka clusters.This role is perfect for someone who enjoys developer-side Kubernetes work, running Kafka with Strimzi, keeping large fleets of clusters consistent and up to date, and contributing to operator code when necessary.Your ResponsibilitiesDeploy, 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, or GCP (at least one).Basic understanding of Kubernetes Operators principles (CRD, Reconciliation) and willingness to contribute to Golang based Operators.Nice-to-have:Experience with Strimzi or another Kafka operator, and with Cruise Control for rebalancing.Terraform/OpenTofu experience (infrastructure currently partly managed this way — migrating towards more operators).Monitoring
Senior Cloud Engineer (m/f/x) - Kafka Arbeitgeber: Dynatrace
Dynatrace ist ein hervorragender Arbeitgeber, der eine Kultur der Exzellenz fördert und wettbewerbsfähige Vergütungspakete bietet, die Leistung anerkennen und belohnen. Als Senior Customer Success Engineer haben Sie die Möglichkeit, mit den größten Cloud-Anbietern zusammenzuarbeiten und an der Spitze der Innovation zu stehen, während Sie bedeutende Beziehungen zu strategischen Kunden aufbauen. Darüber hinaus unterstützt Dynatrace aktiv das Wachstum seiner Mitarbeiter durch kontinuierliche Weiterbildung und ein inklusives Arbeitsumfeld, das Vielfalt schätzt und fördert.
