Key Skills: Rbac, Data Security, AVR, Data architecture, Kafka, Shell Scripting, Python, Splunk, Dynatrace, Grafana

Roles and Responsibilities:

- Provide hands-on support for Apache Kafka and Confluent Platform environments, including operational readiness for developer teams.
- Administer and tune Kafka clusters: configuration, monitoring, performance tuning, and high availability.
- Implement and manage Schema Registry and data serialization using Avro (and related serialization patterns).
- Support Kafka Connect and connector operations, including troubleshooting end-to-end data flow issues.
- Manage Kafka security and access control using RBAC/ACLs and security mechanisms (e.g., SSL/SASL), and troubleshoot security-related incidents.

Skills Required:

- 7-12 years of relevant experience in Kafka/Confluent platform operations and data streaming platform support.




- Apache Kafka and Confluent Platform (7+ years) with solid hands-on operational support.
- Confluent Cloud experience, including migration planning and execution from on-prem Kafka.
- Kafka architecture and internals (topics, partitions, brokers, replication, consumer groups) with practical troubleshooting.
- Schema Registry with Avro, Kafka Connect, and Kafka security/access control; ability to perform version upgrades and patching with minimal downtime.

Good to Have:

- Monitoring and observability tools such as Dynatrace, Splunk, and Grafana.
- Scripting and automation using Shell scripting and Python.

Education: Bachelor's Degree in Computer Science or related field.

📌 Data DevOps Engineer (Telangana)
🏢 Careernet
📍 Telangana