Load Test Engineer

1 month ago

Hyderabad, India DATAECONOMY Full time


1.Work with Product Owners Enterprise support andapplication/developer teams to review performance test requirementsand translate them into performance test strategies.
2.Responsible for building Performance Test Plans defining andimplementing standard methods and techniques of load stress testingfor assignedsystems.

3. Recordperformance tests with scalable number of Virtual Users (perrequirements) to generate realistic load on the server using Jmeteror similar Load/Stress test tool. 4.Collect test metrics and prepare final Test reports Results forreview and signoffs 5. Identify validateand report application usage metrics (like response times errorsetc.) and identify unacceptable responses and providerecommendations to solve the same. 6.Build a suite of baseline and benchmark metrics for regular Releasetesting. 7.Work within project timelines effectively communicationwith QA Engineering teams and remain organized and detailoriented.





Requirements

1.At least 3 years hands on experience in planning and executing Loadand Performance Stress test on across various Front end middlewarelike APIs and backend applications. 2. Comprehensive knowledge ofsystem monitoring system programming and application servers. 3. Musthave working knowledge to execute load and stress inJMeter.

4.Must have experience to write JMeter scripts to do performancetesting of APIs Frontend and Backend applications. 5.Ability tounderstand business requirements (SLA response times) and build aperformance test strategy to achieve successful test results. 6.Indepth knowledge of OpenSource Technologies code analysis and loadtestingtools7.Mustknow how to build the Performance test reports for review andsignoff. 8. Must have credible experience in Performance Testing onAPIs/microservices. 9. Good English communicationskills



BenefitsStandardBenefits
Key Responsibilities: 1. Develop and refine machine learning anddeep learning models. 2. Apply expertise in neural networkarchitectures, specifically for GenAI and LLM applications. 3.Handle complex data processing, cleaning, and visualization tasks.4. Utilize natural language processing techniques for advanced AIsolutions. 5. Efficiently deploy AI/ML models in productionenvironments, focusing on scalability and robustness. 6. Uphold andenhance AI security measures to protect systems and data. 7.Collaborate with cross-functional teams to integrate AI solutions,particularly GenAI and LLMs, into broader systems and applications.8. Stay abreast of the latest trends and advancements in AI,machine learning, GenAI, and LLMs. Technical Qualifications: 1.Proficiency in Python programming. 2. Advanced knowledge inmathematics and algorithm development. 3. Experience in developingmachine learning and deep learning models. 4. Strong understandingof neural network architectures, with emphasis on GenAI and LLMs.5. Skilled in data processing and visualization. 6. Experienced innatural language processing. 7. Knowledgeable in AI/ML deployment,DevOps practices, and cloud services. 8. In-depth understanding ofAI security principles and practices.

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