3+ years of experience in application production support with a robust track record of independently diagnosing and resolving incidents.
Solid working knowledge of the full technology stack in scope including event streaming platforms, integration middleware, AKS-hosted microservices, and observability tooling.
Hands-on experience with incident lifecycle management in ticketing systems (iTrack or equivalent), including root cause identification and resolution documentation.
Proficient with Splunk, PagerDuty, Prometheus, and Grafana for active troubleshooting and issue resolution, not just monitoring.
Hands-on operational experience with Kubernetes, especially Azure Kubernetes Service (AKS), including pod-level diagnostics, restarts, and health investigation.
Practical working knowledge of Confluent Kafka and Azure Event Hub:



consumer lag analysis, topic health checks, and message flow troubleshooting.
Solid SQL/Postgres skills for data-level investigation and validation during incidents.
Working ability to read and interpret Java, Spring Boot, and React application logs for issue identification.
Basic Python scripting capability for operational checks and quick-fix automation.
Valuable Linux/Unix command-line skills for real-time log analysis and system diagnostics.
Solid written and verbal communication skills for incident updates, resolution documentation, and client coordination.
Willingness to work in rotational 24x7 shifts.

📌 /production Support Engineer Hyderabad
🏢 RARR Technologies
📍 Hyderabad