About the role
We are looking for a Production Support Engineer to ensure 24/7 system reliability and operational continuity. The role focuses on proactive monitoring, rapid incident resolution, and minimizing downtime to maintain high SLA standards for critical applications such as LOOP and MMM.
Key ResponsibilitiesKubernetes Support
- Provide hands-on production support for Kubernetes environments
- Monitor and troubleshoot workloads including pods, deployments, services, and namespaces
- Resolve production incidents such as pod failures, resource bottlenecks, and networking issues
- Perform root cause analysis (RCA) and implement corrective and preventive actions
- Support deployments, validations, rollbacks, and manage Helm charts and YAML configurations
Database (SQL / Oracle)
- Write and optimize DDL and DML queries
- Work with joins, aggregate functions, conditional logic, and data analysis tasks
- Support Oracle DB-related production issues and data integrity checks
CI/CD & DevOps Tools
- Use GitHub for code review and debugging support
- Work with Jenkins for deployment monitoring, troubleshooting, and pipeline execution support
Monitoring & Logging
- Use Splunk for proactive monitoring and log analysis
- Identify anomalies and drive faster incident detection and resolution
- Strong experience in Kubernetes production environments
- Good understanding of CI/CD pipelines and deployment processes
- Analytical mindset with strong SQL skills
- Experience in incident management, RCA, and production support operations
- Ability to work in shift-based or 24/7 support environments
- Kubernetes (Advanced)
- Oracle Database (Advanced)
- GitHub, Jenkins, Splunk
- SQL (Advanced)
Ensure stable, secure, and high-performing production systems with minimal downtime through effective monitoring, incident resolution, and continuous improvement.