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# Senior Cloud Engineer - Kafka

- **Company:** Dynatrace GmbH
- **Location:** Wien, Austria
- **Experience:** Expert
- **Salary:** €74,000.0 - €92,000.0
- **Contract:** Permanent contract
- **Skills:** OpenTofu, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Engineering, Computer Programming, Continuous Integration, Software Debugging, Programming Tools, Monitoring of Systems, PostgreSQL, RabbitMQ, Redis, Prometheus, Vault (Revision Control System), Management of Software Versions, Scripting, Google Cloud, Istio, Kubernetes Helm Charts, Kubernetes, Deployment Automation, Apache Kafka, CruiseControl, Terraform, AIOps, Dynatrace, Golang
- **Published:** October 27, 2026
- **Apply:** https://dejobs.org/x/x/C210635CE2134B378355B1C543204BF4/job/

## About the Role

* 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 & observability experience for Kafka (e.g. Prometheus metrics, consumer lag alerting).
 * Experience with any of our broader infrastructure stack: PostgreSQL, Vault, RabbitMQ, Redis, Istio, External Secrets Operator (ESO) or Kyverno. The role offers plenty of opportunity to grow into these services alongside the Kafka focus.

## Description

* 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).