"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 (eg 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 life cycle, 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