Quality Assurance Automation Lead 3 Days Left

Job Description:

Job Title: QA Automation Engineer - Lead

Location: Chennai (On-site)

Job Type: Full-time

Experience: 6 – 10 Years (preferably in EdTech or product-based companies)

Company: Gigadesk Technologies Pvt. Ltd. [Greatify.ai]

Website: www.greatify.ai

About Greatify:

At Greatify, we're transforming education through AI-powered platforms built for schools, colleges, and universities. Our solutions streamline academic operations, support large-scale exam workflows, and enhance both teaching and learning experiences.

- 100+ institutions served
- 100,000+ students impacted
- 1,000+ educators empowered

Our ecosystem includes multiple web applications and native mobile apps (iOS and Android), powering critical functions such as exam management at scale.

Role Overview:

We are looking for a QA Automation Engineer to join our growing QA team. The ideal candidate will take ownership of automation across the full product suite—covering both web and mobile platforms. You will work with our existing Playwright-Python automation framework, ensure quality coverage across multiple modules, and support performance testing when needed.

Key Responsibilities:

- Lead the QA automation strategy across web, mobile, and API platforms, ensuring scalable and maintainable test architecture.
- Own the design and evolution of automation frameworks, driving best practices and continuous improvement.
- Mentor and guide QA engineers through code reviews, training sessions, and leadership in quality culture.
- Collaborate with Product, Engineering, and DevOps teams to align testing efforts with release goals.
- Ensure comprehensive test coverage across functional, regression, integration, performance, and security layers.
- Drive API and backend testing initiatives, including contract testing, service mocking, and microservices validation.
- Integrate automation into CI/CD pipelines (GitLab CI, Jenkins, or similar) for reliable and repeatable deployments.
- Monitor test execution and reporting through dashboards, analytics, and quality metrics.
- Define and maintain test data management strategies (synthetic/anonymized data, versioning).
- Champion QA process improvements including tooling upgrades, environment stability, and automation ROI analysis.
- Drive non-functional testing initiatives (performance, scalability, resilience, accessibility, and cross-device/browser validation).
- Contribute to release readiness assessments, risk identification, and go/no-go decisions.
- Stay ahead of industry trends by exploring AI-driven testing, low-code automation platforms, and observability-driven QA.

Skills Required:

- Programming & Frameworks: Expertise in Python, strong background in building and scaling automation frameworks.
- Web Automation: Advanced proficiency in Playwright (Python) including framework enhancements and parallel execution.
- Mobile Automation: Hands-on with Appium (iOS & Android), including device cloud integration and orchestration.
- API Testing: Strong experience with Postman, Python-based test suites, contract testing (Swagger/Pact), and service mocking.
- Performance & Load Testing: Experience with Locust, JMeter, or k6, ability to analyze results and guide optimization.
- CI/CD Integration: Mastery in setting up pipelines (GitLab CI, Jenkins, or similar) with automated test execution and reporting.
- Cloud & Containers: Familiarity with Docker, Kubernetes, Terraform, AWS/GCP/Azure for scalable test environments.
- Accessibility Testing: Tools like Axe, Lighthouse, WAVE for WCAG compliance.
- Monitoring & Analytics: Experience with Prometheus, Grafana, Datadog, ELK for observability-driven QA.
- Agile & DevOps: Strong grasp of test pyramid, BDD/TDD, exploratory testing, and sprint QA ownership.
- Version Control: Expertise with Git workflows and repository management across multiple teams.
- Reporting Tools: Hands-on with Allure, TestRail, or custom dashboards for test health and release readiness.
- Leadership Skills: Strong communication, mentoring ability, and collaboration with cross-functional teams.

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