Python Testing Consultant/Architect

Educational Requirements

Bachelor of Engineering

Service Line

Infosys Quality Engineering

Responsibilities

• Architect and lead end-to-end testing strategy for Python/Django applications across unit, integration, API, UI, and regression layers.
• Build best-fit architectural solutions for quality engineering as reusable frameworks/tools within identified technology areas, aligned to business and delivery needs.
• Design and implement scalable test automation frameworks, ensuring maintainability, reusability, extensibility, and clear reporting.
• Apply architecture principles and practices (architecture frameworks/methodologies, patterns) to ensure QoS attributes such as performance, scalability, maintainability, and reusability across test and validation platforms.
• Collaborate with frontend teams to validate ReactJS/Angular user flows and ensure consistent cross-browser behavior.
• Define and track quality metrics (coverage, defect leakage, flakiness, cycle time) and lead continuous improvement initiatives.
• Validate data integrity and performance across RDBMS and NoSQL systems, including schema changes and migration testing.
• Create technology differentiation by contributing to new proposals/pursuits, including solutioning, estimations, accelerators, and technical narratives for quality engineering and test architecture.

Additional Responsibilities:

• Good to have skills: Pytest
• Python advance (Framework: Django)
• Angular or ReactJS
• RDBMS
• NoSQL DB's
• Cloud Knowledge
• AI Skills
• PyTorch or TensorFlow
• NLP
• Transformers
• Location: BANGALORE, PUNE, HYDERABAD, CHENNAI,TVM, INDORE, NAGPUR, MLR, MYS, NOIDA, BBSR, KOLKATA, COIMBATORE, HUBLI

Technical and Professional Requirements:

• Graduation in Engineering, Computer Science, or a related discipline.
• Several years of experience in Python engineering with strong focus on testing and quality engineering practices.
• Strong proficiency in Python and Django with proven ability to build testable, maintainable solutions.
• Hands-on experience with test design, automation, defect triage, and end-to-end validation for web applications.
• Solid understanding of databases (RDBMS and/or NoSQL) and testing data-driven workflows.

Preferred Skills: Technology->Automated Testing->Automated Testing - ALL->Selenium; Technology->Analytics - Packages->Python - Big Data; Technology->AI-Data science->Data Science - Basic; Technology->AI-Generative AI->Generative AI - Basic; Technology->AI-AI Engineering->AI/ML Solution Architecture and Design; Technology->Automated Testing->Selenium-Python