QA Engineer

13 days ago

Bengaluru, IndiaMid Level

Responsibilities

Design and develop automated test frameworks for backend services, APIs, and document-processing pipelines.
Build automated validation for HTML, XML, JSON, PDF, and structured and unstructured data.
Implement data-quality, schema, metadata, content-integrity, and business-rule validation.
Develop API, integration, regression, and end-to-end automated test suites.
Integrate continuous quality feedback, quality gates, reporting, and automated testing into CI/CD pipelines.
Develop automation scripts using Python and modern testing frameworks.
Apply AI/ML and LLM-based tools for intelligent test generation, content comparison, defect analysis, and root-cause identification.
Collaborate with Engineering, Product, DevOps, and Data Science teams to improve software quality and release reliability.
Own end-to-end automation for document processing and backend services and improve test coverage and defect-detection efficiency.

At least 3 years of experience in QA Automation or Software Development in Test (SDET).
Strong programming skills in Python, Java, or JavaScript, with Python preferred.
Experience with PyTest, Playwright, Selenium, Cypress, or Robot Framework.
Strong experience testing REST APIs, microservices, and distributed systems.
Experience validating HTML, XML, JSON, PDF, and document-processing workflows.
Strong understanding of data-quality validation, schema validation, metadata verification, and business-rule testing.
Hands-on experience with CI/CD, Git, Docker, SQL, and automation pipelines.
Good understanding of backend systems, databases, and the software development life cycle.
Preferred experience with AI-assisted testing, LLM-based test generation, intelligent content validation, or automated document comparison.
Preferred exposure to Generative AI, NLP, AI/ML applications, OCR, document processing, content management systems, cloud platforms, Kubernetes, event-driven architectures, observability, quality analytics dashboards, and enterprise SaaS applications.

501-1,000 employees