Architect / Lead Architect- Testing

Skills this role screens for

About the role

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Title: Lead Architect-Testing

About Fractal: Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies. Fractal currently has 4000+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal's businesses include Crux Intelligence (AI driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management) and Senseforth.ai (conversational AI for sales and customer service). Fractal incubated Qure.ai, a leading player in healthcare AI for detecting Tuberculosis and Lung cancer.

Location: Mumbai, Bangalore, Chennai, Pune, Gurgaon, Noida, Hyderabad

About the role: 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.

The work

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.

Who they want

Qualifications

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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• 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: