Delhi Data science manager Jobs – 97 Open Jobs Today

QA- Test Engineer
Uvation —Delhi
- Azure
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- Software troubleshooting
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QA- Test Engineer

Uvation
Delhi

Quick apply

Job details

Contractual / Temporary

Qualifications

Jira
BCS
CI/CD
ISTQB Certification
TestNG
Azure
Computer Science
Software troubleshooting
Test management tools
DevOps
LoadRunner
Trello
Selenium
Git
Performance testing
Java
AWS
Bachelor's degree
JavaScript
Version control systems
Continuous integration
Scripting
GitHub
APIs
Agile
UI
Test cases
AI
Jenkins
Communication skills
Python
Debugging
SDLC

Full job description

Job Overview

We are seeking an experienced Software QA & Testing Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.

As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.

Key Responsibilities

1. Test Planning & Strategy

Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.

2. Manual Testing

Perform detailed manual testing on new features, functional flows, and regression cases.
Conduct comprehensive exploratory testing for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.

3. Automation Testing

Design, build, and maintain automation frameworks for both web and mobile applications using leading tools like Selenium, Cypress, Playwright, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and end-to-end testing.
Work on integrating automated tests into CI/CD pipelines (e.g., using Jenkins, GitHub Actions, AWS CodePipeline).

4. Cross-Browser & Device Testing

Perform cross-browser testing on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like BrowserStack, Lambdatest, or CrossBrowserTesting.
Validate software compatibility across various operating systems and devices (desktop and mobile).

5. Performance Testing

Design and execute performance, scalability, and stress tests for high-traffic systems using tools like JMeter, LoadRunner, or Gatling.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.

6. AI-Driven Testing

Utilize AI-powered test case generation tools like Testim, Applitools, or Tricentis Tosca to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.

7. Defect Reporting & Debugging

Identify, document, and track bugs and defects found during testing using bug-tracking tools such as JIRA, Trello, and Azure DevOps.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.

8. Documentation & Reporting

Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.

Requirements

1. Education & Experience

Bachelor's degree in Computer Science, Engineering, or a related field.
4–6 years of experience in a Software QA role, with a proven track record of delivering high-quality software products.

2. Technical Skills

Strong understanding of software QA methodologies, manual and automation testing standards, and testing tools.
Hands-on experience with manual and automation testing of workflows and UI components.
Proficiency with key automation testing frameworks (e.g., Selenium, TestNG, Playwright, Cypress, etc.).
Demonstrated expertise in cross-browser testing tools (e.g., BrowserStack, LambdaTest, Sauce Labs).
Advanced knowledge of performance and stress testing tools (e.g., JMeter, LoadRunner, Gatling, or k6).
Experience with API testing tools such as Postman, Rest Assured, or Karate.
Proficiency with test management tools (e.g., Jira, TestRail) and version control systems like Git.
Familiarity with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitHub Actions, Azure Pipelines).

3. AI Testing Tools

Hands-on experience with AI-enhanced testing tools such as:
- Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
- AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.

4. Additional Skills

Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in Agile environments and with techniques such as regression testing, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as Python, JavaScript, or Java is a plus.

Preferred Qualifications

Certifications:
- ISTQB Foundation Level or Advanced Level certification
- Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing: Familiarity with testing APIs and services hosted on AWS, Azure, or GCP.

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