2 months ago
Pune, IndiaStaff+
Responsibilities
- Design, architect, and implement scalable QA automation frameworks using Python and modern tooling.
- Lead end-to-end functional, regression, API, and AI-driven testing strategies.
- Develop intelligent test solutions using AI/ML concepts, prompt engineering, and LLM-based validation approaches.
- Integrate automation pipelines with AWS, Azure, and GCP cloud environments.
- Drive test data automation, environment management, and performance validation strategies.
- Collaborate with development, DevOps, and product teams to support high-quality releases.
- Mentor QA engineers and promote automation, tooling, and quality governance best practices.
- Evaluate emerging AI and testing technologies to improve efficiency and coverage.
Requirements
- At least 7 years of experience in QA automation design and implementation.
- Strong expertise in Python-based automation frameworks and related libraries.
- Hands-on experience with AI concepts, prompt engineering, and LLM-based systems.
- Experience working with AWS, Azure, or GCP and CI/CD pipelines.
- Strong understanding of automation architecture, API testing, and scalable test strategies.
- Excellent problem-solving, analytical, debugging, communication, and cross-functional collaboration skills.
- Bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
Tech Stack
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