Description

Job Description:    
•       Design and implement Confluent Cloud environments across Development, QA, UAT, and Production.
•       Configure Kafka clusters, topics, partitions, replication policies, and retention settings.
•       Establish environment standards, naming conventions, and deployment procedures.
•       Implement multi-region and disaster recovery strategies where required.
•       Integrate applications, databases, cloud services, and enterprise systems with Kafka.
•       Configure and manage Confluent Cloud connectors.
•       Implement event-driven architecture and streaming integration patterns.
•       Monitor platform health, throughput, consumer lag, and broker utilization.
•       Troubleshoot producer, consumer, and connectivity issues.
•       Configure alerts and operational dashboards.
•       Support platform upgrades, performance tuning, and capacity planning.
•       Automate Kafka infrastructure deployment using Infrastructure as Code (Terraform preferred).
•       Integrate Kafka deployments into CI/CD pipelines.
•       Collaborate with enterprise architects, integration teams, cloud engineers, and business stakeholders.
•       Conduct technical design reviews and architecture discussions.

Kafka & Confluent - Apache Kafka architecture and administration, Kafka Producers and Consumers, Kafka Connect, Schema Registry, Stream Governance, Kafka topic design and partitioning strategies.
Cloud Platforms - Experience with Microsoft Azure
Integration Technologies - REST APIs, Event-driven architecture, Microservices integration, Data streaming platforms
Security - SASL/SSL, Oauth, RBAC, API Key management
DevOps – Terraform, GitHub/GitLab/Azure DevOps, CI/CD pipelines, Infrastructure as Code

Key Skills

Education

Any Graduate