Full job descriptionIn-scope technologies/products: "Streaming Platform: Kafka, Kafka Connect, Schema Registry, Streams, ZooKeeper/KRaft
DevOps / CI-CD: Jenkins, GitHub Actions, Azure DevOps
Container Platform: Kubernetes, Helm, ArgoCD
Cloud: AWS, Azure, GCP
Monitoring: Prometheus, Grafana, Dynatrace, Confluent Control Centre


Supporting: Terraform, Ansible"
Skillsets required: 1. Core Kafka Expertise (Must-Have)
• Kafka architecture: brokers, topics, partitions, replication
• Kafka components: Kafka Connect, Schema Registry, Streams, ZooKeeper/Kraft
• Topic & partition management, consumer groups
• Performance tuning, retention, throughput optimisation
• Cluster setup, upgrades, scaling and failover
• Troubleshooting (e.g. lag, ISR, leader issues)
• Security: SSL/TLS, ACLs, authentication, encryption


2. DevOps & Automation Skills (Must-Have)
• CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.)
• Configuration management and deployment automation


3. Kubernetes & Container Platform Expertise (Must-Have)
• Understanding of Kubernetes technologies
• Helm charts, ArgoCD / GitOps workflows
• ConfigMaps, Secrets, cert management
• Rolling updates, pod lifecycle, scaling


4. Cloud Engineering (Must-Have)
• Understanding of any one of the Cloud platforms: AWS / Azure / GCP


5. Monitoring, Observability & Reliability (Must-Have)
• Monitoring tools: Prometheus, Grafana, Dynatrace, Confluent Control Centre
• Alerting & SRE practices"