QA- Performance QA Engineer
TechBliss Digital Solution Pvt. Ltd.
2 - 5 years
Bengaluru
Posted: 06/03/2026
Job Description
Position: TDV Performance QA Engineer
Experience: 8 to 12 Years
Location : ANY
Job Description
8+ years of experience in performance engineering or performance QA.
Strong knowledge of performance testing methodologies and tooling.
Proficient in creating load scenarios and analyzing front-end and back-end performance through
detailed diagnostics.
Proficiency with scripting languages (Python, Bash, JavaScript or Java).
Solid understanding of distributed systems, web services APIs, and database performance.
Ability to analyze profiling data, logs, and metrics.
Experience with cloud platforms (AWS, Azure, or GCP).
Strong problem-solving and communication skills
Job Responsibilities
In this crucial role as a QA Performance Engineer, you will:
Performance Testing
Design, develop, execute and maintain performance test plans and test scripts (load, stress,
endurance, scalability).
Execute performance tests using tools such as JMeter, LoadRunner or similar tools.
Simulate real-world workloads and identify system bottlenecks.
Analysis & Optimization
Analyze performance test results and work with engineering teams to diagnose issues.
Provide detailed reports on system behavior, latency, throughput, and resource utilization.
Recommend performance improvements for application, infrastructure, and database layers.
Monitoring & Observability
Work with APM tools such as AppDynamics, New Relic, Dynatrace, DataDog or Grafana.
Monitor system metrics (CPU, memory, disk I/O, network, DB queries) during tests.
Validate logging, instrumentation, and tracing for performance insights.
Automation & CI/CD Integration
Integrate performance testing into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.).
Automate performance test execution and result reporting.
Collaboration
Partner with developers, DevOps, product teams, and QA to ensure performance is considered
throughout the development lifecycle.
Participate in architecture and design discussions to identify performance risks early
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