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JOB DESCRIPTION:
The Quality Assurance Engineer will join our team and support the deployment and monitoring of quality standards. The QA Engineer will work with engineers across teams to develop a Quality Assurance framework for the entire organization. As a QA Engineer you will be a part of the Data Management & Platforms team and will help drive quality throughout the entire data product lifecycle through collaboration with product and development teams, development of test cases and automation scripts, and analysis of the system to consistently deliver quality products to downstream consume.
RESPONSIBILITIES:
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Participate within QA teams through management of daily activities, training, and mentoring
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Collaborate with stakeholders to improve quality standards and testing procedures
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Develop test plans, test scenarios, test cases and test data for different testing activities
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Provide definition, implementation, and maintenance of standard QA processes and methodologies for cloud, data, and application engineering efforts
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Collaborate with Product Owners and UX/UI Designers teams to understand different use cases and develop test plans accordingly
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Collaborate with Product and Development Leads to develop and implement a testing roadmap for the product
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Work with development teams to develop quality standards for areas such as test automation, unit, functional, system integration, performance, and user acceptance test phases
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Own end-to-end QA automation and manual quality assurance processes and execution
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Define and implement KPI’s to support end-to-end automation in the product development quality life cycle
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Coordinate and manage platform releases by overseeing test case execution, documenting defects, and managing deployment of releases
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Troubleshoot quality issues and modify test procedures when applicable
QUALIFICATIONS:
REQUIRED QUALIFICATIONS:
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3 to 8 years of software testing experience
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3+ years of experience working as a QA Engineer or in a similar capacity
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Excellent experience in Python automation scripting.
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Expert in automation testing, creating end to end use cases.
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Knowledge of QA methodologies, tools, and techniques
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Knowledge of DevOps principals
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Experience working in an Agile environment
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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
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Previous experience as test automation engineer at various development stages and integrating with CI/CD pipelines (e.g., unit, integration, load tests)
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Experience with testing API automation testing .
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Experience with test automation frameworks (Python BDD)
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Experience with docker containers
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Analytical thinking, problem-solving skills, and attention to detail
PREFERRED QUALIFICATIONS:
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QA management experience
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Experience working with professional software engineering practices and best practices for the full software development life cycle
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Experience improving product test coverage and effectiveness
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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!
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Top Skills
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies.
Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management.
Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
