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Senior Automation Developer
2 weeks ago
We are seeking a seasoned Senior Automation Developer to join our team of innovative professionals. As a key member of our Automation Team, you will play a vital role in shaping the future of intelligent test engineering.
Key Responsibilities:
- Develop 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.
- Solid Proficiency in Java/Python.
- Strong hands-on experience in API Automation (Rest Assured) and UI Automation/Mobile Automation.
- String experience in having built Automation Frameworks from scratch.
- Working knowledge or experience with Mabl, TestRigor, Cursor 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.
- Hands on experience in Performance Testing (for 8+ years of experience candidates)
- 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.
- Shape the future of intelligent test engineering.
- Build products for internal users—fast iteration, direct feedback, and impactful results.
- Work in a culture that values automation, data-driven decisions, and innovation.
