Senior QA Engineer – Agentic AI & Test Automation (Pune)

Senior QA Engineer – Agentic AI & Test Automation (Pune)

18 Aug
|
VARStreet
|
Pune

18 Aug

VARStreet

Pune

Company Description VARStreet Inc. is an all-in-one business management platform built for IT and Office Supplies Value-Added Resellers, Managed Service Providers, and B2B technology solution providers to sell, quote, procure, and scale more efficiently. VARStreet has helped resellers modernize operations by unifying sales quoting, aggregated product catalog, procurement, eCommerce, CRM, and automation in a single integrated solution. An advanced CPQ engine enables sales teams to configure complex solutions, apply energetic pricing rules, and generate accurate quotes quickly.

Role Description

Experience: 5–7 Years

Job Type: Full-time, Permanent

Location: Kalyani Nagar, Pune

Work Mode: Work from Office

Job Summary

We are looking for a Senior QA Engineer with 5–7 years of experience to work in an AI-assisted testing environment.

VARStreet is implementing Agentic AI to help generate specifications, user stories, test scenarios, test cases, test suites, test execution, and Playwright-based automation.

The Senior QA Engineer will be responsible for validating the quality and correctness of these AI-generated outputs, identifying gaps or incorrect assumptions, providing structured feedback to improve the Agentic system, and maintaining high-quality functional and automated test coverage.

The role requires strong testing fundamentals, business workflow understanding, API and database testing, and practical automation experience.

Key Responsibilities

- Analyze requirements, workflows, user stories, and business rules.
- Review and validate AI-generated specifications, test scenarios, test cases, and test suites.
- Identify missing, duplicate, incorrect,



or low-value test coverage.
- Validate AI-generated Playwright automation for correctness, reliability, and maintainability.
- Review automated test results and identify whether failures are caused by application defects, automation, test data, or environment issues.
- Provide structured feedback to improve Agentic AI-generated testing output.
- Maintain functional, regression, integration, smoke, and automated test suites.
- Perform functional, regression, integration, exploratory, API, and database testing.
- Investigate defects using application behavior, API responses, logs, and database data.
- Work closely with developers and product teams to troubleshoot issues and assess release risks.
- Review test coverage and mentor junior QA engineers where required.
- Maintain test documentation, traceability, and test execution records.

Required Skills

- 5–7 years of experience in QA / Software Testing.
- Strong experience in functional, regression, integration, and end-to-end testing.
- Strong requirement analysis and test-case design skills.
- Experience testing complex web-based or SaaS applications.
- Hands-on REST API testing using Postman or similar tools.
- Good SQL knowledge with experience using joins, filters, subqueries, and data validation.




- Experience with MySQL, Oracle, SQL Server, or similar relational databases.
- Practical experience with Playwright, Selenium, or a similar automation framework.
- Ability to read, debug, and modify JavaScript or TypeScript-based automation scripts.
- Understanding of locators, assertions, waits, test data, reusable functions, and flaky-test analysis.
- Experience with Git and JIRA or similar tools.
- Strong defect analysis, troubleshooting, and root-cause investigation skills.
- Strong analytical and problem-solving ability.

Agentic AI Skills

Candidates should be comfortable using AI-assisted tools such as ChatGPT, GitHub Copilot, Claude, or similar Agentic AI platforms.

They should be capable of:

- Evaluating AI-generated testing artifacts rather than accepting them blindly.
- Identifying incorrect assumptions, missing business scenarios, and inadequate test coverage.
- Reviewing AI-generated automation and execution results.
- Providing clear feedback that helps improve future AI-generated output.
- Using AI effectively while applying independent QA judgment.

AI assists the testing process, but the QA Engineer remains responsible for the quality and correctness of the final output.

Preferred Skills

- Experience with SaaS, B2B, CRM, eCommerce, ERP, procurement, or workflow-based applications.
- Experience testing integrations with external systems and APIs.
- Exposure to CI/CD pipelines.
- Experience mentoring or reviewing the work of junior QA engineers.
- Exposure to performance, security, or accessibility testing is an advantage.

📌 Senior QA Engineer – Agentic AI & Test Automation (Pune)
🏢 VARStreet
📍 Pune

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