
Tooling & AI Test Automation Engineer
10 hours ago
Job Title: Tooling & AI Test Automation Engineer
Designation: SDET-2
Location: Bhubaneswar
Department: Automation Testing
Experience Level: 5 to 12 years Employment Type: Full-time
Email -
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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 with SREs, 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.
Education Qualification
- BE/BTech in Computer Science, Information Technology, or Electronics & Communication (EnC).
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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