Lead Quality Assurance Engineer

Job Title : Senior QA Engineer

Location : Bangalore / Hybrid

Role Overview :

We are looking for a Senior / Lead QA Engineer with hands-on experience in end-to-end testing of AI / ML-powered and cloud-based media platforms.

The ideal candidate is not only technically proficient but also AI-aware in their QA approach — informed on the latest AI test strategies, conversant with AI-powered tools for test case generation and execution, and comfortable experimenting with new AI-enabled frameworks that enhance automation efficiency.

You will help set up intelligent QA systems integrated into CI / CD pipelines, driving test automation and turnaround time (TAT) efficiencies across the team.

Key Responsibilities :

 Own QA strategy, planning, and execution for AI / ML applications and microservices within the CLEAR® AI platform.

 Design, automate, and optimize test cases across functional, integration, regression, and performance testing.

 Validate AI / ML model outputs for accuracy, consistency, and bias; collaborate with data scientists to fine-tune test strategies for non-deterministic systems.

 Stay informed on AI-driven testing approaches and tools; apply them to enhance test coverage and reduce manual effort.

 Experiment with and onboard AI-enabled testing frameworks that support CI / CD-linked automation and continuous validation.

 Build and maintain intelligent test automation systems that improve overall system efficiency and TAT.

 Test end-to-end content workflows involving video, audio, and text – transcoding, speech-to-text, computer vision, content QC, and metadata enrichment.

 Develop and maintain automated test frameworks using tools like Playwright, PyTest, Selenium, Postman, JMeter, or Robot Framework.

 Integrate QA seamlessly into CI / CD pipelines (Jenkins, GitHub Actions, or similar).

 Collaborate closely with engineering, DevOps, and product teams to reproduce and resolve defects efficiently.

 Contribute to improving QA standards, documentation, and test data management practices.

 Support performance benchmarking, scalability, and regression testing of AI-enabled workflows.

Required Skills & Experience :

 6–10 years of QA experience in product development or enterprise platform environments.

 Strong understanding of SDLC, STLC, Agile methodologies, and defect lifecycle.

 Proven experience in API testing, automation, and performance testing of distributed or cloud-based systems.

 Familiarity with AI test strategies and exposure to AI / ML testing tools (for model validation, dataset evaluation, or automated test generation).

 Comfort with exploring and integrating new AI-driven frameworks to accelerate QA automation.

 Familiarity with media domain concepts (audio / video codecs, subtitles, speech-to-text, NLP, or computer vision) preferred.

 Working knowledge of databases (SQL / NoSQL), scripting (Python preferred), and test automation frameworks.

 Experience with cloud platforms (AWS / Azure / GCP) and CI / CD pipelines.

 Strong analytical, documentation, and debugging skills.

 Excellent communication and collaboration skills across cross-functional teams.

Nice to Have :

 Prior experience with Media Supply Chain, Broadcast, OTT, or Post-production workflows.

 Familiarity with M&E platforms.

 Basic understanding of AI metrics (precision, recall, accuracy) and statistical validation of model outputs.

Education :

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.