Python Automation Testing (Robot framework)

Cognizant; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Cognizant in Bengaluru is seeking an Automation Test Engineer to develop and maintain automation scripts using Python and Robot Framework, and to automate web and API test cases.

You will execute regression, smoke and functional testing, integrate automation with CI/CD pipelines, and collaborate with development teams to analyze results and report defects.

Qualifications

• Proficient in Python programming and test automation.
• Hands-on experience with Robot Framework.
• Experience with SeleniumLibrary and RequestsLibrary.
• API testing (REST), Git, and SQL knowledge.
• Familiarity with Jenkins, GitHub Actions or Azure DevOps.
• Understanding of Agile/Scrum.

Responsibilities

• Develop and maintain automation scripts using Python and Robot Framework.
• Automate web and API test cases.
• Execute regression, smoke, and functional testing.
• Integrate automation with CI/CD pipelines.
• Analyze results, report defects, and collaborate with dev teams.

Skills

Python programming

API testing (REST)

Agile/Scrum

Git basics

SQL

Education

Bachelor's in Computer Science

Bachelor's in Data Science

Bachelor's in Artificial Intelligence

Engineering or related field

Tools

Robot Framework

SeleniumLibrary

RequestsLibrary

Jenkins

GitHub Actions

Azure DevOps

Job description

Key Responsibilities

• Develop and maintain automation scripts using Python and Robot Framework.
• Automate web and API test cases.
• Execute regression, smoke, and functional testing.
• Integrate automation with CI/CD pipelines.
• Analyze test results, report defects, and collaborate with development teams.

Required Skills

• Strong Python programming.
• Hands-on experience with Robot Framework.
• Experience with SeleniumLibrary and RequestsLibrary.
• API testing (REST), Git, and SQL knowledge.
• Familiarity with Jenkins/GitHub Actions/Azure DevOps.
• Understanding of Agile/Scrum.

Preferred

• Experience with Playwright, Docker, or cloud platforms (AWS/Azure/GCP).
• Good analytical and communication skills.

Key Deliverables

• High-quality AI/ML models for business use cases
• Efficient Python-based ML solutions
• Documentation for models, pipelines, and deployment
• Continuous improvement in model performance

Educational Qualifications

Bachelors or Masters degree in:

• Computer Science
• Data Science
• Artificial Intelligence
• Engineering or related field

Soft Skills

• Strong analytical and problem-solving ability
• Effective communication and stakeholder management
• Ability to work in a fast-paced, regulated environment
• Attention to detail and commitment to quality