QA Engineer Automation (Python/Playwright)

Luxoft; Dadri, Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Luxoft in India is seeking a QA Engineer to join a cloud-based analytics platform used in capital markets for validating, transforming, and analyzing large data sets. You will own manual testing and test automation (UI + API) across front-end interfaces, analytics workflows, and data pipelines.

You will build automation frameworks, contribute to quality strategy, and help the team deliver a reliable platform used by financial analysts and enterprise clients.

Qualifications

• 7+ years of experience as a QA Engineer with minimum of 5 years in automation.
• Hands-on Python and Playwright experience.
• Experience with AI-assisted test generation tools (Claude, Copilot).
• Hands-on API testing with Requests, PyTest, or Postman.
• Familiarity with automation framework design patterns and UI/API testing.
• Strong debugging, problem solving and cloud exposure (AWS preferred).
• Good knowledge of web tech, APIs, JSON/XML and SQL.

Responsibilities

• Own manual functional testing and automation (UI + API) across front-end interfaces and data workflows.
• Build reusable test utilities, fixtures, and Page Object patterns.
• Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins / AWS Code Build).
• Configure test runs in AWS environments (dev/stage/prod).
• Collaborate with Product, Developers, and Data/AI Engineers to ensure expected behavior.

Skills

Python

Playwright

Selenium

CI/CD

API testing

Tools

Git

Postman

Jenkins

AWS

Job description

Job Description

Project Description:

We are looking for a QA Engineer to join our team working on a cloud based high performance analytics platform used in the Capital Markets domain for validating, transforming, and analyzing large volumes of financial data.

Ideal candidate can own both manual functional testing and test automation (UI + E2E) across our front-end interfaces, analytics workflows, and API layers. You will contribute to quality strategy, build automation frameworks, and help the team deliver a highly reliable platform used by financial analysts and enterprise clients.

Responsibilities:

Automation

• Implement E2E scenarios covering cross-service workflows.
• Build reusable test utilities, fixtures, and Page Object patterns.
• Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins / AWS Code Build).
• Configure test runs in AWS environments (dev/stage/prod).
• Use Microsoft Copilot, GitHub Copilot, and Claude to generate test cases
• Participate in root-cause analysis of defects and quality incidents.

Quality Engineering

• Contribute to QA strategy and test automation roadmap.
• Improve test stability, reduce flakiness, optimize runtime.
• Define KPIs for coverage, quality, and regression scope.
• Support test data preparation and environment setup.

Manual Testing

• Analyze requirements, acceptance criteria, and specifications for new features.
• Perform functional, regression, exploratory, and integration testing.
• Experience in handling data transformation, analytical workflows, and large dataset processing.
• Collaborate closely with Product, Developers, and Data/AI Engineers to clarify expected behavior.

Mandatory Skills:

Automated Testing PlayWright Python Selenium

Mandatory Skills Description:

7+ years of experience as a QA Engineer with minimum of 5 years as Automation Engineer

Should have strong and recent Hands-On Experience in Python/Playwright

Skilled in leveraging Agentic AI tools such as Claude, Microsoft Copilot, and GitHub Copilot for automated test case generation, script development, defect analysis

Hands-on experience in AI-assisted test automation frameworks

Automate API testing using tools like Requests, PyTest, or Postman

Exposure to various Automation Framework Design Pattern

Should have worked on Java/Selenium/BDD Cucumber

Good understanding of:

• Web technologies (HTML, CSS, JavaScript)
• REST APIs
• JSON/XML
• SQL databases

Experience with Git version control.

Knowledge of CI/CD implementation.

Excellent debugging and problem-solving skills

Exposure in Performance Testing

Should have exposure to cloud Technologies – AWS/Azure (Preferably AWS)

Expertise with analyzing complex workflows and large datasets.

Solid Exposure to testing methodologies, QA lifecycle, and Agile processes.

Strong communication skills