Kafka Platform Engineer - 19836

Assignment Description

We are looking for an experienced Kafka Platform Engineer

What You Will Work On

• Design, deploy, and maintain multi-cluster, multi-region Apache Kafka environments using Strimzi on Kubernetes and enterprise HiveMQ brokers.
• Manage Kafka, Strimzi, and HiveMQ upgrades, patching, and vulnerability remediation.
• Develop and maintain Kafka Connect source and sink connectors.
• Optimise Kafka partitions, topics, retention, compaction, storage, and resource allocation.
• Design high-availability, disaster recovery, cross-region replication, and automated failover solutions.
• Manage Schema Registries for Avro, Protobuf, and JSON Schema.
• Implement platform security using Kafka ACLs, SASL, mTLS, OAuth/OIDC, and RBAC.
• Configure traffic routing, ingress layers, and messaging platform access.
• Build monitoring, dashboards, and alerts using Prometheus, Grafana, Splunk, and Fluent Bit.
• Perform root cause analysis, troubleshoot production incidents, and provide Tier 3 support.
• Advise Java and Spring Boot teams on Kafka producer and consumer configurations.
• Develop reusable CI/CD pipelines using GitHub Actions, Jenkins, and ArgoCD.
• Automate infrastructure using Helm, Terraform, and KEDA.
• Improve developer self-service tooling, documentation, and platform provisioning processes.
• Handle platform-level incident, problem, and change management.

What You Bring

• 4–6 years of experience with Apache Kafka, Strimzi, Kafka Connect API, and KRaft.
• 4–6 years of experience with Java and Spring Boot.
• Strong experience with Azure Kubernetes Service (AKS).
• Experience with PostgreSQL and Linux, including WSL.
• Experience with GitHub Actions, ArgoCD, and CI/CD automation.
• Knowledge of Splunk, Fluent Bit, and Helm.
• Experience with Infrastructure as Code, such as Terraform.
• Strong understanding of Kafka platform administration, performance, and security.
• Experience with HiveMQ or MQTT brokers.
• Strong problem-solving skills, a humble attitude, and comfort with operational responsibility.
• Good English communication skills.

Meritorious

• Experience with API Management (APIM) platforms.
• Experience with Azure, AWS, or Google Cloud.
• Knowledge of cloud cost optimisation.
• Experience working in an integration department within a large enterprise.
• Experience with Prometheus, Grafana, Fluent Bit, or OpenTelemetry.
• Experience with Kubernetes-based platform automation and event-driven autoscaling.

Interested? Please share your updated CV at cv@veritaz.se to proceed further.