Lead Quality Assurance Engineer

5 days ago


Bhubaneswar Raipur, India Gravity Engineering Services Full time ₹ 18,00,000 - ₹ 28,00,000 per year

Job Title: Lead QA ENGINEER

Location: Bhubaneswar/ Raipur

Department: Automation Testing

Experience Level: 5 years to 7 years

Employment Type: Full-time

Email -

WhatsApp

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, , or similar scripting languages.


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

solutions using ).


• 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.


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