Job
In this role, you will deploy Kafka on Kubernetes with Strimzi in cloud environments, optimize deployments, and automate processes to ensure a reliable event streaming platform.
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Job technologies
Your role in the team
- 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 configurations consistent across the fleet by 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).
Our expectations of you
Qualifications
- Solid understanding of Kafka internals and distributed systems fundamentals (partitioning, replication, leader election, consumer groups, delivery guarantees).
- Developer-oriented Kubernetes knowledge (less cluster operations, 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).
- Basic understanding of Kubernetes Operator principles (CRDs, reconciliation) and willingness to contribute to Go-based Operators.
Experience
- Proven hands-on experience operating Kafka in production (upgrades, scaling, troubleshooting).
- Experience using AI-assisted developer tools (e.g., coding assistants, AI-driven troubleshooting) in your day-to-day engineering work.
- Experience with AWS, Azure, or GCP (at least one).
- Experience with Strimzi or another Kafka operator, and with Cruise Control for rebalancing.
- Terraform/OpenTofu experience (infrastructure is currently managed this way in part, with a migration towards more operators underway).
- Monitoring and observability experience with 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.
What we offer
- Due to legal requirements, we are required to state a salary range for this position: €74,000–€92,000 gross per year for full-time employment (38.5 hours/week).
- We've listed the salary range for transparency, but if your experience and skills bring unique value, we'd still love to hear from you—please apply even if you're outside the range.
Benefits
Topics you will work on
Job locations
About your employer
Barcelona, Detroit, Klagenfurt, Graz, Innsbruck, München, Wien, Linz, Hagenberg, Gdańsk
As passionate and open-minded software enthusiasts, we are the global market leader in software intelligence. With AI-driven, answer-based automation, we support the largest companies in the world to create perfect digital solutions. Our mission is to make sure that millions of people have excellent user experiences in the age of digitalization – whether banking, traveling, shopping or working on the go. By combining observability with automation and AI into one cloud-based platform, we're making this possible.
- 250+ Employees
- 2005
- German, English
- Established Company
- Hybrid, Onsite
- Internet, IT, Telecommunication
Employer reviews
- Engineering
- 4.3
- Working conditions
- 4.9
- Career growth
- 4.6
- Team culture
- 4.5
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