Infosys is seeking an experienced quality engineering professional to architect and lead testing strategies for Python/Django applications. You'll design scalable test automation frameworks and validate data integrity across various systems. Applicants should have 5-20 years in Python engineering, a strong focus on testing, and expertise in both RDBMS and NoSQL databases. Preferred skills include automated testing frameworks like Selenium, cloud knowledge, and AI skills. This role is based in Bengaluru and may involve collaboration across different locations.
Qualifications
Graduation in Engineering, Computer Science, or related discipline.
5-20 years of experience in Python engineering focused on testing.
Strong proficiency in building testable, maintainable solutions.
Responsibilities
Architect and lead testing strategy for Python/Django applications.
Design and implement scalable test automation frameworks.
Define and track quality metrics for continuous improvement.
Skills
Python
Django
Test Automation
RDBMS
NoSQL
Selenium
Angular
ReactJS
Cloud Knowledge
AI Skills
Education
Bachelor of Engineering
Tools
Pytest
PyTorch
TensorFlow
Job description
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 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 TransformersLocation: 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.