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Job Summary We are seeking a highly skilled Performance Test Engineer with 6 10 years of hands-on experience in performance engineering, load testing, stress testing, and application monitoring. The ideal candidate should possess deep expertise in Apache JMeter and Dynatrace, along with experience in analyzing application performance across web, mobile, APIs, and distributed systems. Key Responsibilities Design, develop, execute, and maintain performance test scripts using Apache JMeter. Conduct various types of performance testing including: Load Testing Stress Testing Spike Testing Endurance/Soak Testing Volume Testing Scalability Testing Define performance testing strategy, workload models, and test scenarios based on business requirements. Analyze application, database, and infrastructure bottlenecks using Dynatrace and other monitoring tools. Monitor system metrics including CPU, memory, disk I/O, network utilization, and thread consumption. Perform root cause analysis of performance issues and work closely with Development, DevOps, Infrastructure, and Architecture teams for resolution. Create and maintain detailed performance reports and provide actionable recommendations. Execute API performance testing and identify latency issues across microservices and distributed applications. Integrate performance testing within CI/CD pipelines and support shift-left performance engineering practices. Participate in capacity planning and performance benchmarking activities. Mentor junior performance testers and contribute to process improvements. Required Skills Performance Testing Strong understanding of performance engineering concepts and methodologies. Hands-on experience in workload modelling and performance test planning. Expertise in identifying bottlenecks at: Application Layer Database Layer Network Layer Infrastructure Layer Tools & Technologies Apache JMeter (Advanced scripting and test execution) Dynatrace (APM, distributed tracing, root cause analysis) SQL and database performance analysis REST API performance testing Linux/Unix command line CI/CD tools (Azure DevOps, GitHub Actions, etc.) Version control systems (Git) Monitoring & Analysis Performance metrics interpretation JVM monitoring and tuning basics Log analysis and troubleshooting Experience with cloud-hosted applications - Azure is preferred Desired Qualifications Bachelor's degree in Computer Science, Engineering, or related field. Experience working in Agile/Scrum environments. Exposure to microservices, containers, and Kubernetes environments. Knowledge of performance monitoring tools such as AppDynamics, New Relic, Grafana, or Prometheus is an added advantage. Required Competencies Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to independently drive end-to-end performance testing engagements. Experience in client-facing discussions and performance review meetings. Preferred Certifications Dynatrace Professional Certification Apache JMeter Certification (if applicable) AWS/Azure Cloud Certifications ISTQB Performance Testing Certification Expected Deliverables Performance Test Strategy & Plan JMeter Test Scripts Workload Models Performance Test Reports Bottleneck Analysis Reports Capacity Planning Recommendations Production Readiness Assessment This role is ideal for a performance testing professional who can independently lead performance testing initiatives and provide performance engineering recommendations for enterprise-scale application
From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post states ₹18 LPA.
The post asks for 10 Yrs experience.
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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