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Senior QA Engineer (Automation + Manual + AI)

Luxoft Hyderabad, Telangana, India

onsitefull-time
Posted Feb 26, 2026Apply by Mar 28, 2026

Role & seniority

  • QA Engineer, 5+ years experience

Stack / tools

UI automation: Selenium WebDriver (Java), Playwright (TypeScript)

Testing: manual, API (REST), data/workflow validation

CI/CD: GitHub Actions, GitLab, Jenkins, AWS CodeBuild

Cloud: AWS

Other: Page Object pattern, test utilities, fixtures

Top 3 responsibilities

  • Perform manual testing (functional, regression, exploratory, integration) across UI, API, and data workflows; validate large datasets and data transformations

  • Develop and maintain UI automation and E2E scenarios; build reusable utilities and integrate tests into CI/CD

  • Contribute to QA strategy, automation roadmap, improve test stability, define KPIs, and support test data/environment setup

Must-have skills

  • 5+ years as QA Engineer (manual + automation)

  • Experience testing client-server/web applications; API testing (REST)

  • Hands-on with Selenium WebDriver (Java) and Playwright (TypeScript)

  • Understanding of QA lifecycle, Agile processes; CI/CD, Git

  • Familiarity with AWS and cloud environments

  • Ability to analyze complex workflows and large datasets; strong communication

Nice-to-have

  • Capital Markets / trading or financial analytics exposure

  • AI/ML workflow validation experience

  • Knowledge of test reporting (Allure, Playwright Trace Viewer)

  • Performance testing (JMeter)

  • Python scripting for test data generation/automation utilities

Location & work type

Location: Hyderabad / Bangalore / Gurgaon / Noida

Work type: Full-ti

Full Description

Work location: Hyderabad/Bangalore/Gurgaon/Noida

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 Selenium

  • o Playwright

  • 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.

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

  • o Selenium WebDriver (Java)

  • o Playwright (TypeScript)

  • Solid understanding of testing methodologies, QA lifecycle, and Agile processes.

  • Experience testing REST APIs (e.g., Postman, Playwright API).

  • 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, Playwright Trace Viewer).

  • Experience with performance testing (JMeter).

  • Python scripting experience for test data generation and automation utilities.

Languages

English: B2 Upper Intermediate

Manual TestingTest AutomationSeleniumPlaywrightE2E TestingAPI TestingCI/CDAWSAI WorkflowsAgileData TransformationPage Object ModelGitHub ActionsGitLabJenkinsAWS CodeBuildmulti-location

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