Jobs / Dynatrace

Senior Cloud Engineer (m/f/x) - Kafka

Dynatrace · Wien, W, Austria
Wien, W, Austria74,000-92,000 EURHybrid
Remuneration
Paid time off, financial security benefits, retirement savings plans, and health insurance
Location
Wien, W, Austria
Visa sponsorship
Not specified

Job summary

Operate and improve the Kafka infrastructure underpinning a Kubernetes-based platform, maintaining highly available, consistent, and observable streaming across hundreds of clusters and cloud providers. Manage cluster upgrades, scaling, rebalancing, capacity, and configuration; build automated quality checks; and contribute to Golang operators. The role uses Strimzi, Helm, ArgoCD, and AI-assisted tooling to automate deployments and improve operations.

Benefits

Employee Assistance ProgramFour extra paid wellness daysCompany-wide learning opportunitiesTeam learning daysPaid volunteer day

Qualifications

  • Hands-on experience operating Kafka in production, including upgrades, scaling, and troubleshooting.
  • Knowledge of Kafka internals, including partitioning, replication, leader election, consumer groups, and delivery guarantees.
  • Developer-oriented Kubernetes knowledge focused on application and service integration.
  • Programming or scripting expertise in Bash and Go or another higher-level language.
  • Proficiency creating and templating Helm charts.
  • Familiarity with CI/CD and GitOps workflows, including ArgoCD.
  • Experience using AI-assisted developer tooling in daily engineering work.
  • Experience with at least one of AWS, Azure, or GCP.
  • Basic understanding of Kubernetes Operators, CRDs, and reconciliation, and willingness to contribute to Go-based operators.

Responsibilities

  • Deploy, operate, and maintain Kafka on Kubernetes with Strimzi across AWS, Azure, and GCP.
  • Manage Kafka upgrades, scaling, partition rebalancing, and capacity planning.
  • Manage topics, users, and ACLs declaratively and prevent configuration drift across clusters.
  • Build pre-release checks and automated quality gates for Kafka changes.
  • Contribute to and debug Golang-based operators.
  • Design and template Helm charts for Kafka and related platform services.
  • Automate deployments with CI/CD and GitOps using ArgoCD.
  • Troubleshoot Kafka and related infrastructure incidents.
  • Improve Kafka monitoring for broker health, consumer lag, and under-replicated partitions.
  • Collaborate with platform and product teams to provide reliable event streaming.

Skills

Argo CDAWSAzureBashDynatraceGCPGoHelmIstioKafkaKubernetesKyvernoOpenTofuPostgreSQLPrometheusRabbitMQRedisTerraformVaultGitHub Actions

Languages

English

Work schedule

Full-time, 38.5 hours per weekFlexible working hours

Industry

Observability and security

Relocation

No