Python Testing Consultant/Architect
-
Infosys Limited
- Bangalore
- 5 - 20 Years
- Full Time
- Automated Testing - ALL
- Data Science - Basic
- ethical ai
- Generative AI
- Generative AI - Basic
Posted July 5, 2026 applications close August 4, 2026
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Job Description
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.
Preferred Skills
- generative ai
- ethical ai
- Data Science – Basic
- Generative AI – Basic
- Automated Testing – ALL
Educational Requirements
Bachelor of Engineering