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RXinsider LTD. in Hyderabad is seeking a Performance Automation Engineer with 4–7 years of hands-on experience to design, execute, and analyze performance tests to ensure system scalability and reliability.
You will work with development, QA, and DevOps teams to optimize performance, integrate tests into CI/CD, monitor with Datadog, and generate actionable reports for production readiness.
A solid understanding of REST/HTTP and cloud environments is a plus.
Experience: 4–7 Years
Location: Hyderabad
Employment Type: Full-time
We are seeking a skilled Performance Automation Engineer with strong expertise in performance testing and engineering. The ideal candidate will be responsible for designing, executing, and analyzing performance tests to ensure system scalability, reliability, and responsiveness under varying loads. You will play a key role in identifying bottlenecks and driving performance improvements across applications.
Design, develop, and execute performance test scripts using JMeter
Analyze application performance under load and identify bottlenecks (CPU, memory, DB, network, etc.)
Work closely with development, QA, and DevOps teams to optimize system performance
Integrate performance tests into CI/CD pipelines for continuous validation
Monitor system performance using tools like Datadog and provide actionable insights
Prepare detailed performance reports with observations, trends, and recommendations
Simulate real-world traffic patterns and ensure system readiness for production
Participate in performance tuning and capacity planning activities
Strong hands-on experience with JMeter for performance and load testing
Solid understanding of performance testing concepts (load, stress, spike, endurance testing)
Experience in analyzing test results and identifying performance bottlenecks
Familiarity with web technologies (HTTP/HTTPS, REST APIs)
Ability to correlate application performance with infrastructure metrics
Experience with modern performance tools such as K6 or Gatling
Knowledge of scripting languages (JavaScript, Groovy, or similar)
Experience with distributed load testing
Hands-on experience with monitoring tools such as Datadog
Ability to analyze logs, metrics, and traces for root cause analysis
Understanding of APM (Application Performance Monitoring) concepts
Basic knowledge of Linux/Unix systems
Experience with CI/CD tools (Jenkins, Azure DevOps, etc.)
Understanding of cloud environments (AWS/Azure/GCP) is a plus
Strong analytical and problem-solving abilities
Good communication and stakeholder management skills
Ability to work in a fast-paced, agile environment
Opportunity to work on high-scale, performance-critical systems
Exposure to modern performance engineering practices and tools
Collaborative and growth-oriented work environment