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Application Support /Production Support

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Onsite

Application Support /Production Support

DMart

Application Support /Production Support

Skills

Google Cloud PlatformSQL QueriesDockerGolangJavaTesting & QAMicroservicesKafkaRedisGrafanaSplunkAWSLinuxKubernetesJiraAppDynamicsServiceNowSupply Chain

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹600,000 – ₹800,000 / year

Location:

Coimbatore, Tamil Nadu, India

Work mode:

Onsite

Published on:

3 September 2026

What they need


Key Responsibilities

  • Monitor production applications and ensure system availability.
  • Investigate, troubleshoot, and resolve application incidents within defined SLAs.
  • Perform root cause analysis (RCA) for recurring production issues and recommend preventive actions.
  • Analyze application logs, stack traces, and system alerts to identify issues.
  • Troubleshoot APIs, microservices, databases, and application integrations.
  • Execute SQL queries for data validation and issue analysis.
  • Coordinate with Development, QA, DevOps, Infrastructure, and Business teams for issue resolution.
  • Support production deployments, releases, and post-deployment validation.
  • Maintain incident, problem, and change records using ticketing tools.
  • Prepare operational reports and participate in on-call support as required.
  • Identify opportunities for automation and operational improvements.

Required Skills

  • 25 years of experience in Application/Production Support.
  • Strong knowledge of SQL and database troubleshooting.
  • Good understanding of Linux/Unix commands.
  • Working knowledge of Java or Golang for application debugging and production issue analysis.
  • Understanding of REST APIs, Microservices, and distributed systems.
  • Experience with application log analysis and monitoring tools (Grafana, Kibana, Splunk, ELK, AppDynamics, Dynatrace, etc.).
  • Experience with Jira, ServiceNow, or similar ticketing platforms.
  • Good understanding of Incident, Problem, Change, and Release Management.
  • Strong analytical, troubleshooting, and communication skills.

Good to Have

  • Exposure to Redis, Kafka, or messaging systems.
  • Knowledge of Google Cloud Platform (GCP) or AWS.
  • Experience with Docker and Kubernetes.
  • Understanding of CI/CD pipelines.
  • Experience in Retail, Supply Chain, Warehouse, or Enterprise Applications.

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