Job Summary
We are looking for an experienced QA Automation Lead/Architect with 12+ years of experience in software quality engineering and automation. The ideal candidate should have strong expertise in Python, automation framework design, and enterprise test automation. The candidate should possess a demonstrable ability in software development with a strong focus on QA and Verification & Validation (V&V).
As the automation landscape continues to evolve with the adoption of AI models and automation tools, the candidate should be capable of designing and implementing intelligent automation solutions that enhance software quality, improve efficiency, and support innovation.
Key Responsibilities
Design, develop, and maintain scalable and reusable automation frameworks using Python.
Define and implement automation strategies for UI, API, database, and end-to-end testing.
Build automation frameworks from scratch and continuously improve existing frameworks.
Lead automation initiatives across multiple projects and technology stacks.
Integrate automation suites with CI/CD pipelines for continuous testing.
Collaborate with Development, Product, DevOps, and Business teams to ensure quality throughout the SDLC.
Evaluate and implement AI-enabled automation tools and solutions to improve productivity and test effectiveness.
Mentor automation engineers through technical guidance, code reviews, and best practices.
Drive automation metrics, quality improvements, and innovation across projects.
Work Experience
Mandatory Skills
12+ years of experience in Software Testing, Quality Engineering, or Verification & Validation.
Strong programming expertise in Python.
Proven experience in designing and developing enterprise-grade automation frameworks.
Hands-on experience with automation tools such as Selenium, Playwright, PyTest, Robot Framework, or similar.
Strong experience in API automation and database validation.
Experience with Git, Jenkins, Azure DevOps, GitHub Actions, or other CI/CD tools.
Strong understanding of software development principles, object-oriented programming, and design patterns.
Excellent debugging, root cause analysis, and problem-solving skills.
Preferred Skills
Experience with AI-assisted test automation tools and frameworks.
Knowledge of Machine Learning or Generative AI applications in software testing.
Experience with cloud platforms (AWS, Azure, or GCP).
Exposure to Agile/Scrum methodologies.
Experience in enterprise applications or large-scale product development.
Required Skills
Technical skills
o Java
o Selenium WebDriver
o Cucumber
o JUnit/TestNG
o Page Object Model (POM)
o Hybrid automation frameworks
o Data-driven testing
API automation experience using
o REST Assured
o Postman
o API validation frameworks
CI/CD & DevOps Exposure Experience integrating automation with
o Jenkins
o GitLab
o Azure DevOps
Knowledge of
o Maven/Gradle
o Git version control
o Test execution pipelines
Testing & QA Knowledge
Strong understanding of
SDLC/STLC
Agile/Scrum methodologies
Defect lifecycle management
Regression and integration testing
Experience with any of the test management and defect tracking tools
Jira
Confluence
ALM
Strong leadership and stakeholder management skills.
Excellent communication and presentation abilities.
Ability to drive innovation and automation strategy.
Experience mentoring teams and leading technical discussions.
Customer-focused with strong analytical and decision-making skills.
Passion for continuous learning and adopting emerging technologies.
