Qualitest

AI-powered software testing and quality engineering

Performance Engineer

Performance TestingPosted on Nov 9

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Good communication skills.
Provide partial support during Eastern Time hours, working until 1:30 PM ET.
Have performance testing proficiency rated 4/5.
Have LoadRunner proficiency rated 4/5.
Have SQL proficiency rated 3/5.

Responsibilities

Design, develop, and execute performance, load, stress, soak, and scalability tests using NeoLoad.
Create detailed performance test scripts, scenarios, and frameworks aligned with business workflows.
Analyze test results to identify performance bottlenecks across application layers.
Build and maintain NeoLoad test scripts with parameterization, correlation, custom actions, and validation.
Configure runtime scenarios, service-level agreements, load models, and test data.
Use application performance monitoring and monitoring tools such as Dynatrace, AppDynamics, New Relic, Grafana, Prometheus, Splunk, CloudWatch, and Azure Monitor.
Track system key performance indicators including CPU, memory, threads, heap, garbage collection, database queries, network, and response times.
Perform root cause analysis of performance issues at application, database, and infrastructure layers.
Prepare detailed performance test reports, dashboards, and executive summaries.
Recommend optimizations for code, SQL queries, caching, configuration, and infrastructure scaling.
Support performance tuning activities in pre-production environments.

Good communication skillsPartail EST hour supportwork until 1:30 PM ETPerformance Testing & EngineeringDesign, develop, and execute performance, load, stress, soak, and scalability tests using NeoLoad.Create detailed performance test scripts, scenarios, and frameworks aligned with business workflows.Analyze test results to identify performance bottlenecks across application layers.Scripting & Test ExecutionBuild and maintain NeoLoad test scripts with parameterization, correlation, custom actions, and validation.Configure runtime scenarios, SLAs, load models, and test data.Monitoring & DiagnosticsUse APM and monitoring tools such as Dynatrace, AppDynamics, New Relic, Grafana, Prometheus, Splunk, CloudWatch, Azure Monitor etc.Track system KPIs including CPU, memory, threads, heap, GC, DB queries, network, and response times.Perform root cause analysis of performance issues at application, database, and infrastructure layers.Reporting & OptimizationPrepare detailed performance test reports, dashboards, and executive summaries.Recommend optimizations for code, SQL queries, caching, configuration, and infrastructure scaling.Support performance tuning activities in pre‑production environments.3 must havesPerformance testing 4/5Loadrunner 4/5SQL 3/5

About the Company

Qualitest

AI-powered software testing and quality engineering

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company size: 1,001-5,000
Company stage: Acquired
Total funding: $497M
Headquarters: Fairfield, CT
Founded: 1997

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