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Senior Python Qa Automation Jobs (NOW HIRING)

Long Finch Technologies

We are seeking an experienced Senior Python/QA Engineer to serve as a quality gatekeeper across the ... The ideal candidate will have strong expertise in Python automation, Playwright, Selenium, API ...

SANS

Java with Python QA Automation

Manhattan, NY · On-site

A hands-on senior/mid-level Java engineer with strong computer science fundamentals, excellent coding/problem-solving skills, and Python QA automation experience , ideally from front office trading ...

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How much do senior python qa automation jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for senior python qa automation in the United States is $56.34, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $64.42 per hour, depending on experience, location, and employer.

What does a senior Python QA automation engineer do?

A Senior Python QA Automation Engineer is responsible for designing, developing, and maintaining automated test scripts using Python to ensure the quality of software applications. They lead the creation of test frameworks, collaborate with development teams to understand requirements, and identify potential issues early in the development cycle. Additionally, they mentor junior team members, analyze test results, and help implement best practices for test automation to improve efficiency and reliability.

How does a senior Python QA automation engineer typically collaborate with development and product teams?

Senior Python QA Automation Engineers work closely with both development and product teams to ensure software quality throughout the development lifecycle. They participate in planning meetings to understand new features, contribute to test plan creation, and provide feedback on potential risks or issues. Regular collaboration involves reviewing code, running automated test suites, and triaging bugs with developers, while also communicating test results and quality metrics to product managers. This cross-functional teamwork helps maintain high standards and supports rapid, reliable releases.

What are the key skills and qualifications needed to thrive as a senior Python QA automation engineer, and why are they important?

To thrive as a Senior Python QA Automation Engineer, you need advanced knowledge of Python, strong experience in test automation frameworks, and a solid understanding of software testing principles, typically backed by a degree in computer science or related field. Familiarity with tools like Selenium, Pytest, Jenkins, and CI/CD systems, along with relevant certifications such as ISTQB, is highly valued. Attention to detail, problem-solving ability, and clear communication are essential soft skills for identifying issues and collaborating with development teams. These skills ensure robust, scalable automation solutions that improve product quality and streamline the software development lifecycle.

What is the difference between Senior Python Qa Automation vs Python Qa Engineer?

AspectSenior Python Qa AutomationPython Qa Engineer
ResponsibilitiesDesigning automation frameworks, leading testing strategies, mentoring team membersWriting test scripts, executing test cases, reporting bugs
ExperienceTypically 5+ years, leadership skills2-4 years, hands-on testing
CertificationsISTQB, Automation certifications often preferredBasic testing certifications beneficial
Work EnvironmentTeam leadership, project planningExecution-focused, collaborative

Senior Python Qa Automation roles involve leading testing efforts, designing frameworks, and mentoring, while Python Qa Engineers focus on executing tests and reporting issues. The senior role requires more experience and leadership skills, whereas the engineer role emphasizes hands-on testing tasks.

What cities are hiring for Senior Python Qa Automation jobs?

Cities with the most Senior Python Qa Automation job openings:

What are the most commonly searched types of Python Qa Automation jobs?

The most popular types of Python Qa Automation jobs are:

What are popular job titles related to Senior Python Qa Automation jobs?

For Senior Python Qa Automation jobs, the most frequently searched job titles are:

Senior Python Qa Automation jobs near you

Senior Python/QA Engineer

Frisco, TX • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Senior Python/QA Engineer to serve as a quality gatekeeper across the full software delivery lifecycle. The ideal candidate will have strong expertise in Python automation, Playwright, Selenium, API testing, data validation, and CI/CD, along with experience testing modern data platforms such as Databricks and Snowflake.

Key Responsibilities
  • Develop and execute comprehensive Test Strategies, Test Plans, Test Cases, and Test Scenarios.
  • Review Business Requirements Documents (BRDs) and map requirements to testable acceptance criteria.
  • Identify requirement gaps, ambiguities, and potential quality risks before development begins.
  • Maintain a Requirements Traceability Matrix (RTM) linking BRD requirements, test cases, and test results.
  • Participate in BRD walkthroughs, requirement reviews, and stakeholder sign-off meetings.
  • Design and execute end-to-end tests covering the complete data pipeline from source systems through Databricks/Snowflake transformations to dashboard UI.
  • Validate data accuracy across Databricks Unity Catalog schemas.
  • Develop and execute SQL-based data validation scripts.
  • Build Python-based data quality and regression frameworks using Great Expectations, Deequ, or custom frameworks.
  • Validate data completeness, referential integrity, schema evolution, and data consistency across raw and curated layers.
  • Develop scalable automation frameworks using Python, Playwright, and Selenium WebDriver.
  • Perform functional, integration, regression, and end-to-end testing.
  • Conduct comprehensive REST and GraphQL API testing.
  • Validate API contracts including request/response schemas, status codes, headers, authentication, and authorization.
  • Use tools such as Bruno, Postman, Requests, HTTPX, and Swagger/OpenAPI for API validation and automation.
  • Test authentication and authorization workflows, including token validation, role-based access, and session management.
  • Validate API error handling, malformed payloads, rate limiting, timeout behavior, and 4xx/5xx responses.
  • Perform API performance and load testing using Locust, k6, or JMeter.
  • Validate API versioning, backward compatibility, and deprecation scenarios.
  • Automate API contract testing within CI/CD pipelines to identify breaking changes before deployment.
  • Validate consistency between API responses and underlying Databricks/SQL query results.
  • Track defects through resolution and ensure requirements are fully validated with no escaped defects.
  • Collaborate with developers, business stakeholders, data engineers, and other QA teams in a global delivery environment.
Required Skills & Qualifications
  • 8+ years of experience in Python and QA/automation testing.
  • Strong hands-on experience with Python automation.
  • Strong expertise in Playwright using Python, TypeScript, or JavaScript.
  • Strong experience with Selenium WebDriver.
  • Hands-on experience with API testing and API automation.
  • Strong experience with REST and GraphQL APIs.
  • Strong experience with SQL and data validation.
  • Experience testing Databricks, Unity Catalog, Snowflake, and modern data pipelines.
  • Experience building scalable automation frameworks.
  • Experience with Great Expectations, Deequ, or custom data quality frameworks.
  • Strong experience with CI/CD and DevOps practices.
  • Hands-on experience with Docker, Azure DevOps, Jenkins, and GitHub Actions.
  • Strong understanding of functional, integration, regression, system, and end-to-end testing.
  • Experience with Test Strategy, Test Planning, Test Case Design, and Test Execution.
  • Strong experience with Requirements Traceability and Defect Management.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder collaboration skills.
  • Exposure to Generative AI / Agentic AI testing is a plus.

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