High-Performance System Reliability Specialist

1 week ago

Bengaluru, Karnataka, India beBeeReliability Full time ₹ 14,99,999 - ₹ 24,99,999
Job Description

As a Performance and Reliability Engineer, you will play a key role in ensuring the scalability, reliability, and performance of our systems and applications.

You will leverage tools such as Dynatrace, CloudWatch, and Python to monitor and optimize system performance, troubleshoot issues, and enhance the overall reliability of our infrastructure with SRE Best Practices.

Key Responsibilities:
  • Performance Monitoring and Optimization
  • Use Dynatrace and CloudWatch to monitor system performance and availability
  • Implement performance tuning techniques to ensure high availability and optimal system performance
  • Identify performance bottlenecks and optimize applications and infrastructure for scalability
  • System Observability
  • AppDynamics and monitoring dashboards
  • Collaborate with development and operations teams to troubleshoot incidents and provide recommendations for performance improvements
  • Proactively identify areas of risk and implement preventive measures
  • Automation and Scripting
  • Develop automation scripts in Python to enhance monitoring, incident response, and reporting processes
  • Write and maintain Python-based tools for proactive monitoring, alerting, and issue resolution
  • Cloud Monitoring and Alerts
  • Configure CloudWatch for real-time monitoring and alerting of cloud infrastructure
  • Develop and manage dashboards to visualize system health and performance metrics
  • Prepare and present performance reports, incident post-mortems, and improvement recommendations to senior leadership
  • Chaos Engineering, Fault Management
  • Vulnerability identification, Failure simulation, Stress Management
Required Skills and Experience
  • Strong experience with Dynatrace for application performance monitoring and root cause analysis
  • Proficiency in CloudWatch for monitoring AWS cloud infrastructure, configuring alerts, and visualizing metrics
  • Solid understanding of Python for automating tasks, building performance tools, and writing scripts to enhance operations
  • Experience in analyzing system logs, troubleshooting performance issues, and providing technical recommendations
  • Hands-on experience with cloud environments (AWS preferred), including development knowledge
  • Experience with load testing and performance benchmarking

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