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Redian Software
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QA Automation Engineer

QA Automation Engineer

Redian Software

3 - 5 years

15 Lacs

India

Posted:1 day ago| Platform: GlassDoor logo

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Skills Required

automation design java selenium test ui api integration automate analyze resolve aws deployment azure devops ai testing sql data development code planning strategy agile programming jmeter gatling debugging communication collaboration

Work Mode

On-site

Job Type

Part Time

Job Description

Job Information

Date Opened

30/06/2025

Job Type

Full time

Work Experience

3-5 years

Industry

IT Services

Salary

Upto INR 15,00,000.00 Per Year

City

Gurgaon Kty.

Province

Haryana

Country

India

Postal Code

122001

Design and develop robust automation frameworks using Java, Selenium, and TestNG.
Build and maintain automated test suites for UI, API, and integration layers.
Perform API testing using Postman and automate API validations.
Execute and analyze performance tests, identifying bottlenecks and working with dev teams to resolve them.
Leverage AWS services for test environments and cloud deployment validation.
Integrate automation scripts with CI/CD pipelines (Azure DevOps/Jenkins).
Use BrowserStack for cross-browser and cross-device testing.
Apply Gen AI tools to enhance testing productivity and coverage.
Write and optimize complex SQL queries for backend data validation.
Collaborate with development teams in code reviews, sprint planning, and test strategy design.
Own the quality of features from concept to release in a fast-paced Agile environment.

Requirements

Strong programming experience in Java, with solid knowledge of OOPs concepts and Data Structures.
Hands-on experience with Selenium WebDriver, TestNG, and other automation frameworks.
Proven experience in API testing with tools like Postman.
Knowledge of performance testing tools such as JMeter or Gatling is a plus.
Experience with Git, Jenkins, and other version control & CI tools.
Familiarity with cloud technologies, preferably AWS or Azure.
Experience in deploying and testing cloud-native applications.
Working knowledge of SQL for backend validations.
Exposure to BrowserStack for real device/browser testing.
Understanding of CI/CD pipelines, preferably Azure DevOps.
Experience or curiosity in applying Gen AI in testing workflows is a strong plus.
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities.

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