Performance Testing with Neoload
7 days ago
About Company :
Our client is a global technology cons,ulting and digital solutions company, resulting from the merger . It focuses on helping businesses leverage digital technologies to reimagine business models, accelerate innovation, and drive growth. The company provides services across various industries, including digital transformation, consulting, and application development.
Role:Quality Assurance Automation Engineer Cypress,Supertest.JS,
Location:pune
I
nterview Mode
: virtual
Work mode
: Hybrid
Job type
: C2H
Immediate Joiner's
:15 Day's
Experience:4-9
JD:
Performance Load Test Engineer for Pune location with min. 5 years of experience. Strong expertise in Neo-Load and JMeter. Able to work independently in an Agile environment with minimal supervision, taking ownership of performance testing activities. Should be able to Design, develop, and execute performance, load, stress, and scalability test scripts using Neo-Load and JMeter. Define performance testing strategy, scope, and test plans aligned with business and technical requirements. Monitor system behavior, analyze test results, and identify bottlenecks in applications, databases, networks, and infrastructure. Provide detailed performance analysis, root cause identification, and recommendations for improvements. Collaborate closely with development, DevOps, and product teams in an Agile delivery model. Ensure proper test data management, environment setup, and CI/CD pipeline integration for performance testing. Prepare and present performance reports and dashboards to stakeholders. Solid understanding of system architecture, web technologies, APIs, databases, and cloud environments. Good to Have Prior experience working in the Automotive Manufacturing domain. Familiarity with CI/CD tools (Jenkins, GitLab CI, Azure DevOps). Knowledge of scripting languages (Python, Shell, Groovy) for automation. Exposure to cloud platforms (Azure, AWS, GCP). Experience with performance monitoring tools (e.g., Dynatrace, AppDynamics, Grafana, Kibana, or similar).
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