Senior Python QA Automation Engineer — Frameworks & CI/CD

Machine Learning Technologies, LLC; Quincy (MA); On-site; USD 150,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a senior QA Automation Tester with a strong Python background to design and maintain scalable automation frameworks for enterprise applications.

You will build reusable libraries, automate API/UI/backend tests, and integrate tests into CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps, while mentoring teams on best practices and SDLC concepts.

Qualifications

• 10+ years in QA automation.
• Proven experience building automation frameworks from scratch.
• Hands-on with Pytest / unittest / Robot Framework (or similar).
• API testing: REST / Requests / Postman / RestAssured
• CI/CD: Jenkins, Git, GitHub Actions / Azure DevOps
• Strong understanding of SDLC, Agile, and testing methodologies
• Excellent communication and stakeholder collaboration skills

Responsibilities

• Design, develop, and maintain robust automation frameworks and test suites using Python
• Build and enhance reusable test automation libraries, utilities, and tools
• Automate API, UI, and backend/data validation testing
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
• Perform code reviews and apply development best practices to test code
• Collaborate with developers, product owners, and DevOps in an Agile environment
• Analyze requirements, create test strategies, and report on quality metrics
• Troubleshoot defects, perform root-cause analysis, and drive resolution

Skills

QA Automation

Python

CI/CD

Test Frameworks

REST API Testing

Tools

Pytest

Robot Framework

Postman

Job description

Machine Learning Technologies, LLC seeks a senior QA Automation Tester with a strong Python background to design and maintain scalable automation frameworks for enterprise applications.

You will build reusable libraries, automate API/UI/backend tests, and integrate tests into CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps, while mentoring teams on best practices and SDLC concepts.