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.