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Performance Test Engineer with 4+ years in Designing and Analyzing Performance Tests
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Results-driven Performance Test Engineer with 4.5 years of hands-on experience in designing, scripting, executing, and analyzing performance tests for web, mobile, and API-based applications across E-Commerce and Hospitality domains. Proficient in Apache JMeter and HP LoadRunner, with expertise in load, stress, spike, soak, and endurance testing. Adept at identifying system bottlenecks, JVM memory/GC issues, and scalability gaps. Skilled in Grafana & InfluxDB real-time monitoring, CI/CD integration, and stakeholder reporting. Strong background in Azure Cloud environments and collaborative DevOps workflows.
NITS College of Engineering & Technology
Bachelor of Technology (B.Tech) · Electrical & Electronics Engineering (EEE)
August 1, 2017 – June 30, 2017
TECHOUTS Pvt. Ltd.
Performance Test Engineer
March 1, 2022 – Present
Hyderābād, Telangana, India
SSBeauty (Shoppers Stop Beauty) – E-Commerce Performance Testing
June 17, 2026 – Present
Led end-to-end performance testing for SSBeauty's e-commerce platform covering Product Search, Browse, Add to Cart, Checkout, and Login user journeys. Designed workload models and performance test scenarios based on concurrent user projections and production analytics. Developed and parameterized JMeter scripts for web and API flows; executed Load, Stress, Endurance, and Spike tests. Integrated Grafana & InfluxDB dashboards for real-time server monitoring – CPU, Memory, Disk, and Network utilization. Executed load tests in Non-GUI/Command mode to minimize JMeter heap overhead and maximize throughput accuracy. Configured comprehensive JMeter listeners: Aggregate Report, Response Time Graph, Hits/Sec, Percentile vs. Threads, TPS vs. Threads, and Simple Data Writer. Validated REST API request/response payloads, tokens, and headers using Postman to ensure data integrity. Identified and reported performance bottlenecks; collaborated with Developers and DevOps to tune application and database performance. Prepared daily/weekly performance test summary reports detailing KPIs, SLA deviations, findings, and improvement recommendations. Participated in sprint reviews and defect triaging sessions to provide data-driven performance insights during release cycles.
IHCL Mobile App - Performance Testing (Taj Hotels)
June 17, 2026 – Present
Validated API performance, response times, and booking stability for the IHCL Mobile App (Taj Hotels) under peak user loads. Analyzed mobile API workflows: Hotel Search, View Details, Check Availability, Add Guest Info, Loyalty Redemption, and Payment Gateway APIs. Developed and parameterized JMeter API test scripts for Android & iOS mobile backend services. Executed load, stress, spike, soak, and endurance tests to assess system resilience and identify SLA breaches. Monitored backend infrastructure metrics (CPU, Memory, Network, Disk I/O) via Grafana & InfluxDB dashboards. Validated API payloads, authentication tokens, cookies, and headers using Postman; logged and tracked defects in Jira. Identified performance bottlenecks by analyzing API latency, GC behavior, heap utilization, throughput, and error rates. Supported CI/CD pipeline execution to enable automated performance test runs during scheduled releases. Prepared detailed performance test reports with root cause analysis, KPI metrics, SLA deviations, and tuning recommendations.
IHCL Taj - Hospitality Booking Application
March 1, 2022 – June 30, 2026
Performed performance testing on IHCL's hospitality booking portal supporting hotel search, availability check, offer application, and payment flows for Taj, Vivanta, and SeleQtions chains. Analyzed performance requirements (response times, TPS, workload) aligned with peak booking traffic scenarios. Designed and executed JMeter scripts with Transaction Controllers, Response Assertions, and Regular Expression Extractors for dynamic data capture. Parameterized scripts using CSV Data Set Config to simulate multi-user concurrent sessions realistically. Configured thread groups for ramp-up, steady-state, and spike load patterns matching real-world peak usage. Validated booking stability and low response times across web and mobile platforms under peak load. Collaborated with development and infrastructure teams to identify and remediate bottlenecks before release certification. Certified web application releases for performance across various load levels without compromising application security.
Cultural Fit Analysis
The candidate's project experience across hospitality and e-commerce domains shows adaptability and exposure to different business contexts. Their involvement in CI/CD pipelines and collaborative efforts with various teams (Dev, QA, DevOps, Product) indicates a proactive and integrated approach to software development, aligning well with modern agile and DevOps cultures. The breadth of tools and technologies used (JMeter, LoadRunner, Grafana, InfluxDB, Postman, Jira, Azure Cloud) suggests a willingness to learn and apply diverse solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a Performance Test Engineer role, evidenced by their detailed project descriptions covering the full lifecycle of performance testing. They highlight collaboration with development, QA, and DevOps teams, participation in sprint reviews, and defect triaging, indicating good teamwork and communication skills within a project context. The emphasis on data-driven insights and reporting also suggests a methodical and analytical approach.