Extensive experience architecting, implementing, and administering Confluent Cloud Kafka platform in production environments.
Advanced knowledge of KSQL DB and Flink for real-time stream processing/analytics.
Proven proficiency in Kafka Connectors-from configuration to end-to-end integration in cloud environments.
Strong background in platform governance: schema registry, RBAC, audit logging, retention, and compliance.
Deep expertise with Terraform and the Confluent Terraform provider; Infrastructure-as-Code methodology and automation.
Practical experience designing and managing Harness CI/CD pipelines or other similar tools.
Advanced knowledge of Google Cloud Platform networking, including Private Service Connect (PSC), DNS, Firewalls and enterprise security.
Track record in implementing cloud-native monitoring and observability solutions; troubleshooting, performance tuning, and incident response.
Thorough experience with Disaster Recovery (DR), High Availability (HA) strategies, backup/restore, and multi-region design.
Practical experience with cost optimization, resource monitoring, and right-sizing in Confluent Cloud.
Strong abilities in schema management, version compatibility, and data governance.
Demonstrated capability in capacity planning, partitioning, and scaling streaming architectures.
Experienced in Agile/DevOps methodologies.
Experience providing hands-on production support for mission-critical streaming platforms.
Experience in working with an offshore/on-site model. The position requires gathering requirements on-site, creating detailed design documents and coordinating with offshore for the development/delivery.
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