Senior QA Engineer Automation (Java/Selenium) - Immediate Joiner

Luxoft India

Dadri

On-site

INR 1,200,000 - 2,400,000

Full time

34 hours ago
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Job summary

Luxoft India is seeking a QA Engineer to join our cloud-based analytics platform team. The role covers manual functional testing and test automation across UI, API, and data workflows, with responsibility for building automation frameworks and contributing to quality strategy.

You will collaborate with Product, Developers, and Data/AI engineers to validate complex data transformations, ensure pipeline reliability, and drive test effectiveness in AWS environments.

Qualifications

  • 5+ years of QA experience (manual + automation).
  • Experience with client-server apps and web tech.
  • Hands-on with Java, Selenium, REST API testing.
  • CI/CD and Git workflows proficiency.
  • Familiarity with cloud environments (AWS).

Responsibilities

  • Manual Testing across UI, API, and data workflows.
  • Analyze requirements and create test plans, cases, and scenarios.
  • Perform functional, regression, exploratory, and integration testing.
  • Validate data transformations and large dataset processing.
  • Collaborate with Product, Developers, and Data/AI Engineers on expected behavior.
  • Develop and maintain UI automation using Java and Selenium.
  • Integrate tests into CI/CD pipelines and AWS environments.
  • Root-cause analysis of defects and quality incidents.
  • Contribute to QA strategy and test automation roadmap.

Skills

Manual Testing
Automation
UI Testing
REST APIs
Java
Selenium
CI/CD
AWS

Tools

Git
Jenkins
Postman
Allure

Job 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:
  • Java
  • Selenium
  • 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.
Mandatory Skills Description:
  • 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:
  • Java
  • 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 Skills Description:
  • 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).
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