Senior QA Engineer Automation (Java/Selenium)

Luxoft; Gurugram District; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Luxoft is seeking a QA Engineer to join our team in Gurugram, India, focusing on a cloud-based high-performance analytics platform for Capital Markets. You will own manual testing and test automation (UI + E2E) across front-end, analytics workflows, and API layers, contributing to quality strategy and CI/CD integration.

The ideal candidate has 5+ years of experience in QA, strong communication skills, and a proactive mindset, with hands-on Java/Selenium experience and familiarity with AWS

Qualifications

• 5+ years of experience as a QA Engineer (Manual + Automation).
• Strong experience testing client-server applications and understanding of web technologies.
• Experience testing REST APIs (e.g., Postman).
• Familiarity with cloud environments (AWS ideally).
• Good understanding of CI/CD, Git, test execution pipelines.

Responsibilities

• Perform manual functional, regression, exploratory, and integration testing.
• Create and maintain test plans, cases, and scenarios across UI, API, and data workflows.
• Validate data transformation and analytics workflows in a cloud-based platform.
• Develop and maintain UI automation using Java and Selenium.
• Integrate tests into CI/CD pipelines (GitHub Actions / Jenkins / GitLab).
• Collaborate with Product, Developers, and Data/AI Engineers to clarify expected behavior.

Skills

Manual Testing

Automation

UI Testing

Selenium

Java

REST APIs

CI/CD

AWS

QA Methodologies

Agile

Tools

Postman

Allure

JMeter

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

• Manual Testing
• Analyze requirements, acceptance criteria, and specifications for new features.
• Create and maintain test plans, test cases, and test scenarios across UI, API, and data workflows.
• Perform functional, regression, exploratory, and integration testing.
• Validate correctness of data transformation, analytical workflows, and large dataset processing.
• Collaborate closely with Product, Developers, and Data/AI Engineers to clarify expected behavior.Automation
• Develop and maintain UI automation using:o Javao Selenium
• 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 CodeBuild).
• Configure test runs in AWS environments (dev/stage/prod).
• 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.

SKILLS

Must have

• 5+ years of experience as a QA Engineer (Manual + Automation).
• Strong experience testing client-server applications and understanding of web technologies.
• Experience testing Agentic AI workflows.
• Hands-on experience with:o Javao Selenium
• Solid understanding of testing methodologies, QA lifecycle, and Agile processes.
• Experience testing REST APIs (e.g., Postman).
• Good understanding of CI/CD, Git, test execution pipelines.
• Familiarity with cloud environments (AWS ideally).
• Ability to analyze complex workflows and large datasets.
• Strong communication skills and a proactive mindset.

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).