Performance Test Lead

13 years

0 Lacs

Posted:22 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About Company:

QualiZeal, headquartered in Texas, USA, is a leading provider of AI-powered Quality Engineering services worldwide. With a diverse portfolio of digital transformation services—including Quality Engineering, Digital Engineering, Advisory and Transformation, and Emerging Technology Testing—QualiZeal empowers leading global organizations to achieve quality excellence and sustainable market leadership. Recognized for its industry-leading growth rate since its inception, QualiZeal has been named "The Fastest Growing Digital Quality Engineering Services Company in North America" at the 2022 Global Choice Awards and "Tech Startup of the Year" at the 2024 American Business Awards®. Trusted by over 70 global enterprises and employing more than 850 elite software quality engineers, QualiZeal is a fast-paced, culture-driven organization on a high-growth trajectory.

Recognition:

  • "The Fastest Growing Digital Quality Engineering Services Company in North America" (2022 Global Choice Awards).
  • "Tech Startup of the Year" (2024 American Business Awards®).
  • Great Place to Work Certified® (2023-24, 2024-25).
  • "Major Contender" in Quality Engineering by Everest Group and NelsonHall (2023, 2024).
  • Economic Times "Best Organization for Women" (2024). 42% women workforce.
  • Telangana Best Employer Brand Award (2024).
  • Industry-leading Client and Employee Net Promoter Scores (NPS).
  • Glassdoor Rating: 4.4



Responsibilities

  • Participate in all Agile ceremonies, including sprint planning, daily stand-ups, demos, and retrospectives.
  • Collaborate with stakeholders to understand end-to-end (E2E) business workflows and design comprehensive performance test scenarios.
  • Plan and execute E2E performance testing across the full stack like UI, APIs, backend services, and databases to ensure system stability and scalability.
  • Plan, develop, and execute AI performance testing for AI/ML-based applications, focusing on optimizing inference time, latency, and resource utilization.
  • Estimate testing effort and timelines for various project activities.
  • Prepare detailed test strategies and test plans aligned with business and technical requirements.
  • Develop, maintain, and enhance performance test scripts to ensure comprehensive E2E test coverage.
  • Create and manage test data sets for realistic performance validation.
  • Execute automated performance tests and analyze end-to-end system behavior under load.
  • Identify and troubleshoot performance bottlenecks across frontend, middleware, database, and integration layers.
  • Provide performance tuning recommendations to optimize overall system responsiveness and resource utilization.
  • Participate in walkthroughs, code reviews, and design discussions to ensure quality and performance standards are met.
  • Continuously enhance testing processes by adopting performance engineering best practices.
  • Mentor junior engineers and lead technical discussions on performance testing and engineering methodologies.


Requirements

  • 7–13 years of hands-on experience in E2E performance testing and engineering.
  • Strong understanding of the Agile development lifecycle and its integration with performance testing.
  • Proven experience in designing, executing, and analyzing E2E performance tests using tools like JMeter, LoadRunner, Neoload, BlazeMeter.
  • Good understanding of JVM architecture, heap memory management, garbage collection, and thread dump analysis for identifying performance bottlenecks.
  • Expertise in testing web applications, REST APIs, and backend systems across distributed environments.
  • Knowledge of AI performance metrics like latency, throughput, inference time, and model scalability.
  • Basic to intermediate programming skills in Java or equivalent scripting languages.
  • Experience integrating performance tests into CI/CD pipelines using tools like Jenkins/Azure DevOps.
  • Good Knowledge of system monitoring and profiling tools (Splunk, Dynatrace,AppDynamics,Datadog,NewRealic, Grafana, Prometheus, InfluxDB).
  • Comfortable working on Linux/Unix systems and troubleshooting performance issues.
  • Experience with databases (Oracle, SQL, PL/SQL) and skills in query optimization and DB performance tuning.
  • Exposure to AWS or cloud environments for scalable performance testing setups.
  • Strong analytical, problem-solving, and communication skills to collaborate effectively across teams.
  • SAP-based performance testing experience using LoadRunner or JMeter for complex business transactions.


Nice to Have

  • Experience integrating monitoring tools with performance test workflows for complete visibility.
  • Proven ability to mentor or train team members in E2E performance engineering.
  • Understanding of advanced database and application optimization techniques.
  • Experience implementing performance engineering principles like caching, profiling, and capacity planning.

You may visit www.qualizeal.com for quick information.

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