Software Test Engineer - Avya Technology Pvt. Ltd. - UP, India

Noida, Sector 63 3–5 Years 1 Position

• Job Information
• Responsibilities
• Skills & Abilities
• Interview Process

Job Information

Avya Technology Pvt. Ltd. is looking for a skilled and detail-oriented QA Engineer with 3–5 years of experience in manual testing, automation testing, and AI-assisted software testing. The ideal candidate should have a strong understanding of software testing methodologies, test planning, test case design, automation frameworks, API testing, and defect management. The candidate will be responsible for ensuring software quality through comprehensive manual and automated testing, identifying and analyzing defects, investigating root causes, and using AI-powered tools to improve testing efficiency, accuracy, and coverage. We are looking for a proactive professional with strong analytical and problem-solving skills who can work closely with developers and cross-functional teams to deliver reliable, high-quality software applications.

Key Highlights

Strong experience in manual testing and software quality assurance. Hands-on experience with automation testing tools and frameworks. Exposure to AI-assisted testing tools and AI-powered QA workflows. Strong analytical thinking, troubleshooting, and root-cause analysis skills. Experience in API testing, defect tracking, and regression testing. Opportunity to work on modern applications and improve QA processes using automation and AI.

Tech Stack

Manual Testing: Functional, Regression, Smoke, Sanity, Integration, Exploratory Testing Automation Testing: Selenium, Cypress, Playwright, or similar frameworks Programming & Scripting: Java, JavaScript, Python, or similar languages API Testing: Postman or similar tools Bug Tracking & Test Management: Jira, Bugzilla, TestRail, or similar tools AI & Productivity Tools: ChatGPT, GitHub Copilot, and other AI-assisted testing tools Additional Technologies: SQL, Git, CI/CD tools, Agile/Scrum

Employment Details

Employment Type: Full time Work Mode: Onsite

Responsibilities

As a key member of our team, you will:

• Perform end-to-end manual testing, including functional, regression, smoke, sanity, integration, and exploratory testing.

• Prepare, review, and execute test plans, test scenarios, test cases, and test scripts based on project requirements.

• Develop, maintain, and execute automated test scripts using suitable automation tools and frameworks.

• Use AI-assisted testing tools to support test case generation, test data creation, automation script development, and test result analysis.

• Test web applications, APIs, and backend systems to ensure functionality, reliability, and consistency.

• Perform API testing using Postman or similar tools.

• Identify, document, track, and verify defects throughout the software development lifecycle.

• Analyze complex requirements, identify potential risks, investigate defects, and perform root-cause analysis.

• Evaluate test results, identify recurring issues, and recommend improvements to application quality and reliability.

• Conduct regression testing following bug fixes, new releases, and feature enhancements.

• Collaborate with developers, product managers, and other stakeholders to understand requirements and resolve quality issues.

• Maintain clear documentation of test cases, execution reports, defects, and testing outcomes.

• Participate in Agile/Scrum meetings and contribute to continuous improvement in QA processes.

• Explore and adopt suitable automation and AI-powered testing solutions to improve testing efficiency and coverage.

Skills & Abilities

Must-Have Skills

• 3–5 years of professional experience in software testing and quality assurance.
• Strong hands-on experience in manual testing of web applications.
• Practical experience with automation testing tools such as Selenium, Cypress, Playwright, or similar frameworks.
• Understanding of programming or scripting languages such as Java, JavaScript, or Python.
• Experience in functional, regression, smoke, sanity, integration, and exploratory testing.
• Knowledge of API testing using Postman or equivalent tools.
• Experience in test case preparation, test execution, defect reporting, and bug life cycle management.
• Understanding of AI-assisted testing and the use of AI tools for test case generation, automation support, debugging, or test result analysis.
• Familiarity with test management and defect-tracking tools such as Jira, Bugzilla, or TestRail.
• Good understanding of SDLC, STLC, and Agile/Scrum methodologies.
• Strong analytical and problem-solving skills, with the ability to analyze requirements, identify potential risks, investigate defects, and determine root causes.
• Excellent logical reasoning and attention to detail to ensure comprehensive test coverage.
• Ability to evaluate test results, identify patterns, and recommend effective solutions to improve software quality.
• Strong troubleshooting and decision-making skills.
• Good written and verbal communication skills.

Good-to-Have Skills

• Hands-on experience with AI-powered testing platforms such as Testim, mabl, Applitools, or similar tools.
• Experience using ChatGPT, GitHub Copilot, or other AI assistants to support test case creation, test script development, and debugging.
• Experience testing AI-powered applications, LLM-based features, or AI integrations.
• Knowledge of performance testing tools such as JMeter or k6.
• Experience with database testing and SQL queries
• Familiarity with CI/CD pipelines, Jenkins, GitHub Actions, and version control systems.
• Experience with cross-browser testing, responsive testing, and cloud-based testing platforms.

Soft Skills

Strong analytical thinking and problem-solving abilities. Excellent attention to detail and a quality-focused mindset. Ability to investigate issues and perform root-cause analysis. Good communication and collaboration skills. Ability to work independently and manage multiple priorities. Proactive approach to identifying risks and improving testing processes. Adaptability and willingness to learn new testing tools and technologies.

Candidates will be evaluated on their manual testing fundamentals, practical automation testing experience, API testing knowledge, defect analysis, root-cause identification, analytical skills, and ability to use AI-assisted tools effectively in QA workflows. The assessment will also focus on test case design, troubleshooting capabilities, attention to detail, and the ability to collaborate with development teams to improve software quality.

Interview Process

1

Application Screening

Review of the candidate's resume, overall experience, testing expertise, automation skills, and relevant project background.

1–3 days HR Team

2

HR Discussion

Discussion about professional experience, current responsibilities, communication skills, notice period, salary expectations, and suitability for the role.

20–30 minutes HR Team

3

Technical Interview

Evaluation of manual testing concepts, test case design, automation frameworks, API testing, defect management, analytical thinking, and troubleshooting skills.

30–60 minutes Technical Team

4

Practical Testing / Assessment

Assessment of practical testing knowledge, including test scenario preparation, defect identification, automation concepts, and AI-assisted testing approaches, as applicable.

30–60 minutes Technical Team

5

Final Discussion and Selection

Final evaluation of technical suitability, communication, problem-solving abilities, and overall fit, followed by offer and onboarding formalities.

3–5 days HR & Management Team

Why Join Us?

Perks Of Joining Avya Technology

Enjoy flexibility, continuous learning, and a workplace where every voice matters.

Hybrid Work

Remote or Office

Flexible Timings

Work-life balance

Training

Continuous learning

Team Building

Team Spirit Activities

Rewards & Recognition

Celebrate Success

Paid Certifications

Professional Certification Support