Automation Test Engineer

Luxoft

Dadri

On-site

INR 800,000 - 1,200,000

Full time

3 days ago
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Job summary

Luxoft is seeking a QA Engineer to join a cloud-based, high-performance analytics platform used in Capital Markets for validating, transforming, and analyzing large financial datasets.

The role covers both manual testing and test automation (UI + E2E) across front-end interfaces, analytics workflows, and API layers. You will contribute to QA strategy, build automation frameworks, and help deliver a highly reliable platform for financial analysts and enterprise clients.

Qualifications

  • 5+ years of QA experience (Manual + Automation).
  • Experience testing client-server apps and web tech.
  • Experience testing AI workflows or analytics pipelines a plus.
  • Strong knowledge of Java and Selenium tooling.
  • Familiarity with REST APIs (Postman) and CI/CD pipelines.
  • Understanding of cloud environments (AWS).
  • Excellent communication and proactive collaboration skills.

Responsibilities

  • Perform manual, functional, regression, exploratory, and integration testing across UI, API, and data workflows.
  • Create and maintain test plans, cases, and scenarios.
  • Develop and maintain UI automation and reusable test utilities.
  • Integrate tests into CI/CD pipelines and configure test runs in cloud environments.
  • Lead quality strategy, KPI definitions, and troubleshooting with cross-functional teams.

Skills

Manual Testing
Automation
Java
Selenium
REST APIs
CI/CD
Git
AWS
Agile
Analytics

Education

Bachelor's degree in Computer Science or related field

Tools

Selenium
Postman
JMeter
Allure
GitHub Actions
Jenkins
AWS CodeBuild

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.
  • 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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