Job Title: Test Automation Engineer

Designation: SDET- SE

Location: Bangalore

Department: Automation Testing

Experience Level: 5–7 years

Employment Type: Full-time

About the Role

We are looking for a highly skilled AI Automation Engineer to join our Automation team—not in a traditional application development capacity, but as a specialist focused on building internal tools, test intelligence platforms, dashboards, and AI-driven test enablement frameworks.

This role is ideal for someone who thrives at the intersection of testing, data engineering, and internal tool development, with a passion for empowering QA and Dev teams with intelligent systems and visual insights.

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 current 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.

• GenAI-Driven STLC Transformation: Standardizes the integration of GenAI across the entire Software Testing Life Cycle (STLC) , building workflows that leverage AI for autonomous test case design, rapid Root Cause Analysis (RCA) , and automated log debugging to compress release cycles.

• Tool Mastery & Automation Velocity: Possesses deep hands-on experience with in-market assistants like GitHub Copilot and Claude into daily workflows for accelerated script generation, code refactoring, and complex test data synthesis.

• Agentic Frameworks & RAG Implementation: Brings the passion and curiosity required to enable the team in developing next-generation testing infrastructure; applies functional knowledge of Agentic AI systems and Retrieval-Augmented Generation (RAG) to design specialized autonomous agents that intelligently parse technical documentation and run contextual validation.

Education Qualification

- BE/BTech in Computer Science, Information Technology, or Electronics & Communication (EnC).

Why Join Us

- 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.

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