Senior QA Engineer Automation (Python/Playright)

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

Job summary

Luxoft in Gurugram, India seeks a QA Engineer to lead manual testing and test automation (UI + E2E) for a cloud-based analytics platform in Capital Markets. You will own automation frameworks, drive quality strategy, and contribute to API testing and data workflows, collaborating with Product, Developers, and AI Engineers.

The role combines validating complex data transformations with automation, using AI-assisted test case generation and modern tooling.

Qualifications

• 7+ years of QA experience with at least 5 years in automation.

Responsibilities

• Automate E2E scenarios spanning cross-service workflows.
• Build reusable test utilities, fixtures, and Page Object patterns.
• Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins).
• Configure test runs in AWS environments (dev/stage/prod).
• Analyze requirements, acceptance criteria, and specs for new features.
• Perform functional, regression, exploratory, and integration testing.
• Collaborate with Product, Developers, and Data/AI Engineers to clarify behavior.

Skills

Automation

End-to-End testing

Python

Playwright

AI-assisted testing

SQL

REST APIs

QA Lifecycle & Agile

Strong communication

AWS basics

Tools

PyTest

Postman

Requests

Git

GitHub Copilot

Claude AI

Jenkins

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.

SKILLS

Must have

• 7+ years of experience as a QA Engineer – with minimum of 5 years as Automation EngineerShould have strong and recent Hands-On Experience in Python/PlaywrightSkilled in leveraging Agentic AI tools such as Claude, Microsoft Copilot, and GitHub Copilot for automated test case generation, script development, defect analysisHands-on experience in AI-assisted test automation frameworksAutomate API testing using tools like Requests, PyTest, or PostmanExposure to various Automation Framework Design PatternShould have worked on Java/Selenium/BDD CucumberGood understanding of:
• Web technologies (HTML, CSS, JavaScript)
• REST APIs
• JSON/XML
• SQL databasesExperience with Git version control.Knowledge of CI/CD implementation.Excellent debugging and problem-solving skillsExposure in Performance TestingShould 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

Nice to have

• Experience with Capital Markets, trading, market data, or financial analytics.
• Exposure to AI/ML-based systems and their validation approaches.
• Knowledge of modern test reporting systems (Allure).
• Experience with performance testing (JMeter).