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Python Automation Testing Jobs (NOW HIRING)

Cliff Services Inc

Telecom OSS Tester

Middletown, NJ · On-site

The ideal candidate should have hands-on experience in manual and automation testing using Robot Framework and Python . Required Skills: * Telecom OSS Testing * OSS/BSS Domain * Order-to-Activation ...

Select Minds LLC

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite ... Execute functional, regression, and API automation testing * Collaborate with development teams to ...

Infosys

Automation Testing Consultant

Princeton, NJ · On-site

Required Skill and Experience • Experience in test automation using Selenium (Java/Python) and/or Playwright. • Experience in API testing using REST Assured, Postman, or Playwright API testing ...

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How much do python automation testing jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python automation testing in the United States is $51.28, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $58.41 per hour, depending on experience, location, and employer.

What is Python automation testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.

What are the key skills and qualifications needed for Python automation testing?

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

What are common challenges in Python automation testing, and how can they be addressed?

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

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Python Automation Testing jobs near you
Infographic showing various Python Automation Testing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $106,656 per year, or $51.3 per hour.

Senior Python/QA Engineer

Mckinney, TX • On-site

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

Full-time

This job post has expired 4 days ago. 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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