Python Testing Consultant/Architect

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 in the form of 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.

5-20 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.