
Senior Python Automation Tester
2 weeks ago
Job Summary:
As a Senior Python Automation Tester, you will be a technical leader responsible for
designing, developing, and maintaining robust automation frameworks and test
suites.
You will oversee quality assurance activities associated with software analysis. This
includes developing test plans,performing exploratory testing and executing
functional and regression testing.
You will work closely with the development team, production management and
support team to ensure the product is ready for release.
Responsibilities:
Automation Strategy & Architecture: Define and implement the overall automation
strategy and architecture, ensuring scalability, maintainability, and efficiency.
Framework Development & Maintenance: Design and develop advanced automation
frameworks using Python and related technologies, focusing on reusability and
extensibility.(e.g. Pytest,UnitTest)
CI/CD Pipeline Optimization: Optimize the CI/CD pipeline for continuous testing and
feedback, ensuring seamless integration of automated tests.
Performance & Scalability Testing: Design and execute complex performance and
scalability tests to identify bottlenecks and ensure application stability.
Test Planning & Execution: Develop comprehensive test plans, test cases, and test
data strategies for complex applications.
Defect Management & Analysis: Lead defect analysis and root cause investigations,
collaborating with development teams to ensure timely resolution.
Code Reviews & Best Practices: Enforce code quality standards and best practices
through rigorous code reviews.
Technology Evaluation & Adoption: Evaluate and recommend new testing tools and
technologies, including AI/ML platforms and libraries.
Cross-functional Collaboration: Collaborate with product managers, developers, and
other stakeholders to ensure alignment on testing goals and deliverables.
Nice to have:
AI-Powered Testing Implementation: Research, evaluate, and implement advanced
AI and machine learning techniques for test automation, including:
Developing custom AI models for test case generation and anomaly detection.
Integrating AI-powered visual testing and predictive analytics into the testing
pipeline.
Leading the development of AI-driven test data management solutions.
Technical Leadership & Mentorship: Provide technical guidance and mentorship to
junior automation testers, fostering a culture of continuous learning and
improvement.
AI/ML Experience: Demonstrated experience in implementing AI/ML techniques for
test automation, including model development and integration.
Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Software
Engineering, or a related field.
Experience: 8+ years of experience in software testing and automation, with a
proven track record of leading automation efforts.
Python Expertise: Expert-level proficiency in Python and experience with advanced
automation frameworks and libraries.
CI/CD Mastery: Deep understanding of CI/CD pipelines and experience with related
tools and technologies.
Performance Testing Expertise: Extensive experience with performance and
scalability testing tools and methodologies.
Leadership Skills: Strong leadership, mentorship, and communication skills.
Problem-Solving Skills: Excellent analytical and problem-solving skills, with the
ability to tackle complex technical challenges.
Agile Expertise: Extensive experience working in Agile/Scrum environments.
Cloud Proficiency: Experience with cloud platforms (e.g., AWS, Azure, GCP) is highly
desirable.
Version control: advance understanding of GIT.
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