Architect / Lead Architect- Testing

Fractal Analytics is looking for a creative and capable QA Architect to help with our testing activities. The engineer will use his/her skills & experience to understand application architecture, end-user requirements and design/automate test cases to find flaws in the application.

Responsibilities

Participate within QA teams through management of daily activities, training, and mentoring; Collaborate with stakeholders to improve quality standards and testing procedures; Develop test plans, test scenarios, test cases and test data for different testing activities; Provide definition, implementation, and maintenance of standard QA processes and methodologies for cloud, data, and application engineering efforts; Collaborate with Product Owners and UX/UI Designers teams to understand different use cases and develop test plans accordingly; Collaborate with Product and Development Leads to develop and implement a testing roadmap for the product; Work with development teams to develop quality standards for areas such as test automation, unit, functional, system integration, performance, and user acceptance test phases; Own end-to-end QA automation and manual quality assurance processes and execution; Define and implement KPI’s to support end-to-end automation in the product development quality life cycle; Leverage AI/ML models to enhance test automation efficiency, defect prediction, and anomaly detection in data pipelines; Integrate AI-driven testing tools to optimize regression testing, performance benchmarking, and intelligent test case prioritization; Team handling, problem solving, project management and communication skills & creative thinking; Coordinate and manage platform releases by overseeing test case execution, documenting defects, and managing deployment of releases; Troubleshoot quality issues and modify test procedures when applicable.

Requirements

14 to 19 years of software testing experience; 8+ years of experience working as a QA Engineer or in a similar capacity; Must have experience in ETL testing, creating data pipelines; Excellent experience in Python and SQL scripting; Expert in automation testing, creating end to end use cases; Knowledge of QA methodologies, tools, and techniques; Knowledge of DevOps principals; Experience working in an Agile environment; Excellent communication skills and ability to work with the different stakeholders to improve the company’s procedures and to ensure the vision is communicated clearly; Previous experience as test automation engineer at various development stages and integrating with CI/CD pipelines (e.g., unit, integration, load tests); Experience with testing PySpark code and API testing; Experience with test automation frameworks (Python BDD); Experience with docker containers; Experience in validating AI/ML models for accuracy, bias detection, and performance monitoring; Knowledge of AI-driven test automation platforms and their integration with CI/CD pipelines; Analytical thinking, problem-solving skills, and attention to detail; QA management experience; Experience working with professional software engineering practices and best practices for the full software development life cycle; Experience improving product test coverage and effectiveness; Experience in Selenium Automation testing using Python, Pytest; Bachelor’s degree in a relevant field such as Information Systems, Computer Science, Engineering, etc.