Python Testing Consultant/Architect

Step into a senior consulting and architecture role where you’ll shape high-quality Python systems and the testing strategy that keeps them reliable at scale. You’ll partner closely with engineering, product, and QA teams to design testable Django-based solutions, modernize automation practices, and guide teams toward faster, safer releases. This role blends hands-on engineering with technical leadership—ideal for someone who enjoys solving complex quality challenges, mentoring others, and influencing architecture decisions. You’ll work across APIs, data layers, and modern UI stacks, while exploring practical ways to apply Generative AI to improve testing efficiency and coverage. If you’re motivated by building robust frameworks, elevating engineering standards, and delivering measurable quality outcomes, this is a great place to make an impact.

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.

Technical 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.

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

Education

Bachelor of Engineering