Senior QA Engineer Automation (Java/Selenium)

Luxoft; India; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Luxoft is seeking a QA Engineer to join our team on a cloud-based analytics platform for Capital Markets. You will own manual functional testing and test automation across UI, API, and data workflows.

The ideal candidate has 5+ years of experience, strong knowledge of web technologies, REST APIs, CI/CD, and experience with Java and Selenium. You will help build automation frameworks and integrate tests into CI pipelines.

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 and CI/CD pipelines.

Responsibilities

• Manual Testing across UI, API, and data workflows.
• 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 transformations, analytics workflows, and large datasets.
• Collaborate with Product, Developers, and Data/AI Engineers to clarify expected behavior.
• Develop and maintain UI automation with Java and 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.

Skills

Manual Testing

Automation

UI Testing

E2E Testing

API Testing

CI/CD

AWS

Scripting

Tools

Selenium

Java

Postman

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).