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Durai Kannan

Durai Kannan

Site Reliability Engineer | Production Support & Incident Management

Talent
NoidaMember since July 12, 2026
Incident CoordinationProblem ManagementRoot Cause Analysis (RCA)ServiceNow (IcM)JiraConfluenceHDInsightHadoop (HDFS, YARN, Hive)KafkaAzure Monitor24x7 On-Call
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Incident CoordinationProblem ManagementRoot Cause Analysis (RCA)ServiceNow (IcM)Jira

About

Site Reliability Engineer with 4+ years of experience in production support, incident coordination, and Azure-based infrastructure operations. Skilled in triaging and driving production incidents through to resolution, executing operational runbooks, and performing root cause analysis to prevent recurrence. Experienced with ServiceNow, Jira, and Confluence for incident tracking and documentation, with working exposure to Incident, Problem, and Change Management practices.

Comfortable operating under pressure across 24x7 on-call rotations, coordinating with cross-functional engineering and platform teams to keep services stable and reliable.

Experience

System Engineer – Consultant (Site Reliability Engineer) at LTIMindtree (Client: Microsoft) (2022-05 – Present)

Azure HDInsight Big Data Platform

  • Coordinate triage and progression of production incidents on Azure HDInsight platforms through to resolution, engaging the right technical teams for Major and High impact incidents
  • Execute operational runbooks to restore service during outages and identify follow-up improvements after incidents
  • Lead root cause analysis (RCA) for critical production incidents and drive permanent fixes through problem management, reducing recurring issues
  • Use ServiceNow (IcM) for incident logging and tracking, and Jira/Confluence for work item tracking and operational documentation
  • Apply Incident and Problem Management practices aligned with ITIL principles as part of day-to-day production support
  • Monitor cluster lifecycle health via Kusto-based (KQL) monitoring, proactively catching issues before they impact production workloads
  • Review monitoring and alerting configurations to reduce noise and improve visibility into service health
  • Support Hadoop (HDFS, YARN, Hive) and Kafka systems in production, resolving cluster health, job failure, and data pipeline issues
  • Diagnose Kafka issues such as consumer lag, broker failures, and replication imbalance to improve throughput and stability
  • Collaborate with Product Teams, SREs, and Platform Engineering during live service events and onboarding of new services into support
  • Participate in 24x7 on-call rotations, handling high-severity incidents while maintaining SLA adherence
  • Maintain operational documentation and knowledge base articles to speed up future incident resolution

Education

Bachelor of Engineering in Computer Science – PSNA College of Engineering and Technology, Anna University (2020)

Skills

Site Reliability EngineerProduction Support & Incident Management

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