Our Client  is seeking an Automation Engineer.

Duties:

• Design and execute performance tests to evaluate the system’s responsiveness, stability, scalability, and resource usage
• Identify performance bottlenecks and provide recommendations for improvements
• Analyze test results and generate detailed performance reports
• Conduct resiliency tests to ensure the system can handle failures and recover gracefully
• Implement and test failure scenarios to validate the system’s fault tolerance
• Recommend and validate resiliency patterns such as circuit breakers, bulkheads, and retries
• Set up and maintain performance monitoring tools to continuously track system performance
• Analyze performance metrics and logs to detect and diagnose performance issues in real-time
• Perform capacity planning to ensure the system can handle expected and peak loads
• Provide recommendations for scaling resources based on performance data and future growth projections
• Collaborate with development and operations teams to optimize code, database queries, and infrastructure configurations
• Recommend best practices for performance tuning and optimization
• Recommend and configure performance parameters for Kubernetes clusters, such as resource limits, requests, and autoscaling policies
• Ensure optimal performance of containerized applications running in Kubernetes environments
• Recommend and implement resiliency patterns like circuit breakers, rate limiters, and fallback mechanisms to enhance system reliability
• Validate the effectiveness of these patterns through testing and monitoring
• Document performance testing methodologies, tools, and best practices
• Provide training and support to development and operations teams on performance and resiliency best practices