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Quality Assurance Automation Engineer

Job in 411001, Pune, Maharashtra, India
Listing for: YASH Technologies
Full Time position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Cloud Computing, Technical Support, Systems Analyst
Job Description & How to Apply Below
Hi Folks!

Note:

Only Pune based candidates or those who are currently staying in Pune is requested to apply as final round includes candidate to appear for F2F discussion.

Role:  QA Engineer

Location:

Pune

Experience:

3+ Yrs.
Company’s Website:

Skillset:
Selenium + Java +Playwright + JavaScript/ Type Script + Rest Assured

Perform  hands-on manual testing  with strong understanding of testing concepts, test design techniques, and defect life cycle.
Contribute to and maintain  automation test suites , with readiness to learn and adopt any automation tool as per team needs.
Maintain the right balance between  automation and manual testing  to ensure optimal coverage and timely delivery.
Collaborate effectively with  all Scrum roles —PO, developers, Scrum Master, and other stakeholders.
Create comprehensive  test plans, feature-level test strategies , and execute them across different releases and environments.
Conduct  API testing ,  database validations , and ensure accurate end-to-end workflow coverage.
Communicate challenges openly, propose solutions, and work closely with developers to prevent defects early.
Perform  environment-specific testing  considering criticality, stability, and deployment timelines.
Handle  urgent production testing  needs with quick planning and execution.
Demonstrate strong skills in  test data preparation  for various functional and non-functional scenarios.
Use  Playwright with Type Script  to automate regression and functional scenarios (good-to-have: experience or willingness to learn).
Apply basic understanding of  AWS services  during testing and for debugging use cases (good-to-have).
Support both  functional and non-functional testing , including reliability, usability, and performance considerations.
Mentor developers on functional flows and edge cases to drive  defect prevention  rather than detection.
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