About the Role
We are looking for an innovative QA / Senior QA Automation Engineer to elevate our quality engineering practices. In this role, you will be responsible for automating web applications end-to-end using Playwright. Additionally, you will utilize Agentic AI and Large Language Models (LLMs) to accelerate test creation, generate intelligent test data, perform smart error analysis, and drive next-generation automation efficiency across our software development lifecycle. You will collaborate closely with AI engineers, product teams, and DevOps specialists to integrate continuous test automation into Azure DevOps (ADO) pipelines and lead quality strategy for non-deterministic AI applications.

Key Responsibilities
Web Automation with Playwright
- Web Application Automation: Build, scale, and maintain robust, high-performance automated test suites for web applications using Playwright (TypeScript).
- Cross-Browser & Parallel Testing: Design tests that execute reliably across multiple browsers (Chromium, Firefox, WebKit) and environments, maximizing parallel test execution speed.
- API & UI Integration: Combine UI automation in Playwright with direct API assertions to ensure end-to-end system reliability and fast feedback loops.
- Framework Optimization: Create reusable Playwright fixtures, page object models (POM), custom utilities, and visual regression tests to maintain high code quality and low maintenance overhead. Leveraging Agentic AI & LLMs in QA
- AI-Assisted Test Automation: Utilize LLMs and Agentic AI tools (e.g., GitHub Copilot, custom LLM agents, coding assistants) to auto-generate test scripts, improve locator strategies, and speed up automation development.
- Smart Test Data Generation: Harness LLMs to dynamically construct edge-case scenario data, synthetic test payloads, and complex user flows for broader test coverage.
- Automated Failure Analysis: Leverage Agentic AI workflows to evaluate test run logs,



analyze stack traces, and quickly identify root causes or flaky tests automatically.
- Prompt Engineering for Quality: Design and refine targeted prompts to generate comprehensive test cases, acceptance criteria, and technical QA documentation. DevOps, Version Control & Leadership
- CI/CD Integration: Integrate Playwright test suites into Azure DevOps (ADO) pipelines to enforce quality gates on pull requests and deployments.
- Version Control: Manage and govern test repositories using Git best practices (branching strategies, PR reviews, code standards).
- Cross-Functional Collaboration: Partner with developers, product managers, and AI leads in Agile/Scrum environments to ensure full test coverage from planning to release.
- Senior Level Leadership (Sr. QA): Establish AI-driven QA testing standards, optimize pipeline execution efficiency, and mentor team members on combining traditional web automation with modern AI capabilities. Quick Summary of Key Tech Stack & Practices
- Web Automation: Playwright (Web App Testing)
- AI Tooling & Automation: Agentic AI Assistants, LLMs (OpenAI, Claude, custom agents) for QA acceleration, smart test data generation, and root-cause analysis
- Manual & Exploratory Testing: Functional Testing, Regression Testing, Usability Testing, Sanity/Smoke Testing, and Exploratory Test Execution
- Bug Reporting & Defect Lifecycle: Defect Logging, Root-Cause Analysis, Issue Triage, Severity/Priority Mapping, and Retesting
- Project & Task Management: Agile / Scrum Ceremonies, Sprint Planning, Story Estimation, Backlog Grooming, and Requirement Traceability
- DevOps & ALM Tools: Azure DevOps (ADO Pipelines & Boards for work tracking, sprint planning, and CI/CD quality gates)
- Version Control: Git (Branching strategies, Pull Requests, Code Reviews)
- Programming Languages: TypeScript / JavaScript
- Domain Knowledge: Fintech knowledge is valuable to have (Capital Marketing, Alternate asset Management)

📌 QA Engineer (Noida)
🏢 Indus Valley Partners
📍 Noida