Tooling & AI Test Automation Engineer

2 days ago

Bhubaneshwar, Odisha, India Gravity Engineering Services Full time ₹ 15,00,000 - ₹ 20,00,000 per year

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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