2 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, structured data, 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 quality feedback loops, 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 to 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 while improving test coverage and defect detection.
Requirements
- 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 Git, Docker, SQL, automation pipelines, and CI/CD.
- 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.
Tech Stack
AWSAzureCypressDockerGitGoogle Cloud PlatformHTMLJavaJavaScriptKubernetespytestPythonRobot FrameworkSeleniumSQL
Categories
About CUBE
CUBE builds AI-driven regulatory intelligence and compliance automation software that monitors and interprets global regulatory change for highly regulated industries, especially financial services. Its SaaS products—RegPlatform, Oden, Intel, and PoweredBy—help compliance and risk teams act on updates and map obligations to controls; founded in 2011 and headquartered in London, CUBE operates globally and is privately held under Hg ownership.