Lead Quality Assurance Engineer

Job Title: Lead QA ENGINEER

Location: Bhubaneswar/ Raipur

Department: Automation Testing

Experience Level: 3 years to 7 years

Employment Type: Full-time

Email - kauser.fathima@gravityer.com

WhatsApp +91 - 9916141516

Key Responsibilities

• Test Automation Development: Build and maintain robust, scalable test automation

frameworks for API, web, and mobile platforms.

• Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD

integration, and test data visualization.

• Build intelligent dashboards for real-time reporting of test results, release quality metrics,

and defect analytics.

• Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction,

flakiness prediction, and self-healing scripts.

• Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test

frameworks (Selenium, Playwright, etc.).

• Work closely withSREs, and DevOps teams to ensure tools are scalable, performant, and

well-adopted.

• Create APIs, microservices, or CLI tools that support testing workflows, artifact

management, and defect traceability.

• Continuously evaluate new AI/ML advancements and incorporate them into test

engineering practices.

Required Skills

• Proficiency in Java, Python, Node.js, or similar scripting languages.

• Hands-on experience with dashboarding tools (Grafana, Kibana, Superset, or custom

solutions using React/D3.js).

• Working knowledge or experience with Mabl, TestRigor, or any AI automation tool.

• Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress,

Selenium).

• Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).

• Familiarity with databases (SQL, NoSQL) and working with test data at scale.

• Experience in building REST APIs or microservices for internal use.

Nice to Have

• Experience with GenAI or LLM integration for test case generation or failure analysis.

• Working knowledge of AI/ML libraries like Scikit-learn, TensorFlow, or transformers for

testing-centric use cases.

• Exposure to containerization (Docker/K8s) and cloud platforms (AWS/GCP/Azure).

• Understanding of observability tools like Prometheus or ELK stack.

• Knowledge of software telemetry, test coverage reporting, and static/dynamic code

analysis tools.

Why Join Gravity

• Embark on a journey with a forward-thinking and innovative IT technology consulting company.
• Competitive compensation package
• Prospects for career advancement within a rapidly expanding global organization.