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.
Qualifications
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 Education:
Bachelor’s degree in a relevant field such as Information Systems, Computer Science, Engineering, etc.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
