Data DevOps Engineer

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 strong 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. .