Quality Analyst/Manual Testing in Jaipur

4 days ago


Jaipur, India SoftSensor Full time

Job Overview
We are looking for a highly skilled Manual Testing Lead to oversee the testing process and ensure the delivery of high-quality software applications. The ideal candidate will bring strong expertise in manual testing, experience in leading QA teams, and the ability to collaborate effectively with cross-functional stakeholders to meet project objectives.

Key Responsibilities

  • Develop, execute, and maintain detailed test cases for manual testing across multiple applications and platforms.
  • Perform functional, regression, integration, and system testing to validate software quality.
  • Conduct API testing using tools such as Postman, SOAP UI, or similar.
  • Design and execute load and performance tests to evaluate scalability and stability.
  • Identify, document, and track defects using defect management tools, ensuring timely resolution.
  • Collaborate with developers, product managers, and business stakeholders to understand requirements and align on deliverables.
  • Lead test planning, estimation, and review meetings, contributing to test strategy and scope definition.
  • Create and maintain comprehensive test documentation, including test plans, test cases, and test reports.
  • Analyze test results and provide actionable insights to improve application performance, usability, and functionality.
  • Mentor and guide junior QA engineers, fostering best practices and continuous improvement within the team.

About Company: is a USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with leading global consulting firms & corporations and delivering large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context.


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