Quality Assurance Automation Engineer

About Straive :

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services : Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website : https : / / www.straive.com /

D - Testing (QA) : Designs and executes automated test suites (Python-based) to validate OCR, LLM, UI, and data pipeline integrity. This is related to the solution that will leverage Large Language Models (LLMs) to process various document types, providing key information, case summaries, and action items through a web-based user interface.

Key Responsibilities

• Design, develop, and maintain end-to-end test automation framework for UI and API testing (Python-based)
• Perform functional, integration, system, and UI testing for web applications
• Validate document processing pipelines :
• OCR accuracy
• Image, PDF, Word and other type of documents ingestion and processing
• Data extraction and parsing
• Validate LLM-generated outputs :
• Key information extraction
• Document summaries and completeness
• Prompt variations and regression testing
• Test REST APIs for data flow between UI and backend microservices
• Conduct data validation
• Create test datasets for different document types & error scenarios
• Participate in test planning, test strategy documentation, and defect triage

Must-Have Skills

Automation - Python automation framework development (PyTest)

Web / UI - Selenium / Playwright for UI automation

APIs - REST API testing using Insomnia

AI & OCR Testing - Testing generative AI and OCR-driven workflows

Cloud (AWS) - Experience with S3, Lambda, CloudWatch, API Gateway

Data Validation - SQL, JSON validation

Testing Practices - Strong understanding of functional, regression, E2E, UAT

Manual Testing - Detailed test case creation, execution & defect reporting