Senior /Lead QA Automation Engineer (AI)

Department Icon Data Science Analytics & Machine Learning
Posted: 5 months ago
5-9 years
Pune, Maharashtra
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 5 months ago
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Job Description

Experience: 5–9 years

Key Responsibilities

  • Lead QA activities across multiple Neio Project products and workstreams.
  • Own QA planning, test strategy, test execution tracking, defect tracking, and release readiness reporting.
  • Coordinate work among QA engineers and ensure proper test coverage across assigned applications.
  • Review requirements, user stories, acceptance criteria, and business workflows to identify test gaps and risks.
  • Define test approach for functional testing, regression testing, API testing, automation, integration testing, and release validation.
  • Build, enhance, and maintain UI automation frameworks using Selenium or Playwright.
  • Build, enhance, and maintain API automation frameworks using Rest Assured.
  • Perform and review manual API testing using Postman.
  • Ensure effective defect reporting, defect triage participation, root cause analysis, and retesting.
  • Collaborate with product owners, engineering leads, business teams, delivery managers, and other stakeholders.
  • Mentor QA engineers and help improve their testing mindset, automation skills, and domain understanding.
  • Provide guidance for validating AI-enabled features where required, based on defined business rules, expected outputs, and acceptance criteria.

Required Skills

Strong manual testing foundation with excellent test design, test planning, and risk-based testing skills.

  • Strong hands-on UI automation experience using Selenium or Playwright.
  • Strong hands-on API automation experience using Rest Assured.
  • Strong manual API testing experience using Postman.
  • Good programming skills in Java, JavaScript, TypeScript, or Python.
  • Experience designing or enhancing automation frameworks.
  • Strong knowledge of SDLC, STLC, Agile/Scrum, defect lifecycle, QA governance, and release processes.
  • Strong understanding of REST APIs, JSON, HTTP methods, authentication, authorization, integration flows, and backend validation.
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Experience with Git and build tools such as Maven, Gradle, or npm.

Skills

PythonDefect TrackingScrumRoot Cause AnalysisAi

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