As a Site Reliability Engineer (SRE) you will be responsible for improving the overall reliability of applications by ensuring its availability, performance, and scalability. Should be able to gather the technical requirements from the DevOps team and the operational requirements from the Application Support team.

Working Hours :05:30 AM to 1:30 PM IST (GMT+5:30)

Primary Skills :

Monitoring and Analysis:

• Continuously monitor CDC dashboards to track service performance and analyze reports.
• Oversee production and DevOps infrastructure dashboards, ensuring system stability and identifying potential issues.
• Observe alerts from New Relic and escalate them to the respective teams as needed.
• Identify duplicated New Relic alerts and optimize alert configurations to reduce noise and improve efficiency.
• Track daily alerts in production to enhance alert optimization strategies.
• Maintain and update a list of dashboards monitored, including details such as widgets, metrics, and threshold values.
• Create and manage dashboards for validating and monitoring CPU optimizations for Rapid and CDC services.
• Perform sanity checks on Container Memory Utilization, Missing Pods, Container Restarts, Container CPU Utilization, Active Pods, Node Resource Consumption, and Pod Network Status to ensure system health.

Responsibilities include:

• Work closely with the application support team.
• Monitor critical applications and services to minimize downtime and ensure their availability.
• Collaborate with DevOps teams to maintain and monitor CI/CD pipelines.
• Deploy new versions to production environments.
• Work with project teams to ensure the reliability and maintainability of new and modified releases.
• Provide input to risk management practices that will anticipate reliability-related incidents that could adversely impact operations.
• Document processes and monitor application performance metrics.
• Continuously improve proactive monitoring alert configuration and incident response processes to increase reliability and reduce Mean Time to Recovery (MTTR ).
• Optimize performance and cost efficiency through continuous monitoring, trend analysis, and fine-tuning.
• Monitor any abnormal usage that can impact the cost or performance and take corrective actions.
• Proactively implement preventive measures to improve system reliability.
• Maintain runbooks, Standard Operating Procedures (SOPs), diagrams, and documentation for swift incident response.
• Conduct post-incident reviews to improve reliability and contribute to the development of resilience strategies.
• Achieve Service Level Indicators (SLIs) that are set to meet reliability objectives.

Release and Deployment Management

• Coordinate and execute weekly production releases, ensuring services are deployed with optimized CPU values.
• Update central repositories with the latest service configurations and CPU requests.
• Perform post-deployment sanity checks to validate service stability after production releases.
• Redeploy CDC services with optimized CPU values, ensuring system performance improvements.
• Monitor new CPU optimizations for Rapid and CDC services, tracking performance improvements and resource utilization.

Incident Management and RCA Documentation

• Conduct incident analysis, identifying root causes and documenting findings for continuous improvement.
• Maintain detailed Root Cause Analysis (RCA) documentation to track incidents and resolutions.
• Provide reports on incident trends, helping improve response times and preventive measures.

Collaboration and Communication

• Participate in daily SyncUpsand internal meetings to discuss ongoing tasks, challenges, and improvements.
• Sync up with the (NOC) team to align on monitoring strategies and escalations.
• Collaborate with the Database (DB) team for performance tuning and issue resolution.
• Conduct knowledge transfer (KT) sessions on Rapid Resource
• Optimization and related best practices.

Optimization and Continuous Improvement

• Track CPU optimization efforts, ensuring proper resource allocation and utilization for Rapid and CDC services.
• Analyze performance data to refine resource allocation strategies and improve system efficiency.
• Identify and implement best practices for reducing alert noise and optimizing monitoring configurations.