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Senior QA Automation

DataArt
Karnataka, IND
Onsite
Discovered 1 months ago
PythonPlaywrightAPI testingSQLSwaggerOpenAPI

Full Job Posting

Project and Position Overview

Contribute to a quality validation platform for consistent service, data-flow, and user-interface behavior across a distributed system.

Work as a QA automation specialist across backend and frontend components.

The project focuses on automation coverage, API validation, UI testing, testing reliability, and team-wide quality practices.

Working Hours

  • Follow standard India office hours with at least one hour of overlap with the United States Pacific time zone.

Technology Stack

  • Python, Swagger, OpenAPI, SQL, JSON, APIs, and relational databases.

Responsibilities

  • Design and maintain automated test suites for backend services and user interfaces.
  • Validate REST APIs for functional behavior, error handling, and data accuracy.
  • Perform data validation using SQL and NoSQL tools.
  • Support UI and UX testing for usability and consistency.
  • Analyze test outcomes and partner with engineering teams to resolve issues.
  • Maintain automation standards and improve testing coverage.
  • Share automation knowledge and best practices with QA team members.
  • Document test plans, test cases, and automated workflows.

Requirements

  • Experience in a QA Engineer, SDET, Test Automation Engineer, or comparable technical testing role.
  • Experience using AI tools for test development and experience with Playwright.
  • At least 2 years of Python experience.
  • Hands-on API testing, including calls and JSON request and response analysis.
  • Ability to use Swagger and OpenAPI specifications and API documentation.
  • Strong SQL skills and relational database data-validation experience.
  • Experience testing integrations or distributed services across multiple components.
  • Ability to isolate defects across data, API processing, orchestration, persistence, and consumption.
  • Experience designing or extending automated tests for APIs, integrations, or data pipelines.
  • Clear written communication and disciplined defect documentation.

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