Performance Test Engineer

Job Details:

Key Responsibilities

• Performance Test Strategy and Planning: Design and develop comprehensive performance test strategies and plans, including defining test scope, objectives, workload models, performance benchmarks, and success criteria.
• Scripting and Test Execution: Create, enhance, and maintain scalable performance test scripts using JMeter , leveraging custom Java coding for advanced test scenarios, integrations, and complex business workflows. Execute load, stress, spike, endurance, and scalability tests using JMeter and BlazeMeter .
• Performance Monitoring and Analysis: Utilize monitoring and observability tools such as AppDynamics to collect, analyze, and correlate performance metrics. Identify bottlenecks, conduct root cause analysis, and provide actionable insights to improve application performance.
• Cloud Infrastructure Monitoring: Monitor application performance and resource utilization across AWS and Azure environments. Analyze infrastructure-level metrics and identify cloud-related performance constraints impacting application reliability and scalability.
• Reporting and Recommendations: Generate detailed performance test reports, dashboards, and executive summaries. Present findings to stakeholders and provide practical recommendations to optimize application, database, and infrastructure performance.
• Cross-Functional Collaboration: Partner closely with Development, QA, DevOps, SRE, Product, and Operations teams to ensure performance requirements are defined, validated, and met throughout the Software Development Lifecycle (SDLC).
• Tool and Technology Expertise: Demonstrate strong hands-on experience with industry-standard performance testing and monitoring tools including JMeter, BlazeMeter, AppDynamics , and related observability platforms.
• Troubleshooting and Optimization: Investigate and resolve performance-related issues across application, middleware, database, and infrastructure layers. Recommend performance tuning and optimization strategies to improve system efficiency and user experience.
• Innovation and Emerging Technologies: Continuously evaluate, pilot, and recommend the adoption of the latest performance engineering, observability, and AI-powered testing tools to enhance test automation, performance analysis, anomaly detection, root cause identification, and overall engineering productivity.
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