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Python Automation Testing Jobs in San Jose, CA (NOW HIRING)

Jobsbridge

QA Engineer

San Francisco, CA

Company Description Intelliswift Software, Inc 5+ years work experience in software testing and ... Qualifications RESTful, Java, Python, Automation Additional Information Multiple Openings

Fellow

Automation Engineer

San Francisco, CA · On-site

$165K - $185K/yr

Proficiency in automation scripting (Python or similar) * Hands-on experience with hardware-integrated automation testing * Strong experience designing and maintaining CI/CD pipelines (e.g., GitHub ...

1 point system

QA Engineer

Fremont, CA · On-site

Develop and execute backend integration tests and testing for RESTful APIs. * Build and maintain automation frameworks and automated test cases using Selenium and Python . * Design and execute ...

Cinder LLC

Automation Lab Engineer

Sunnyvale, CA · On-site

$50/hr

Support validation testing, debugging, and issue resolution. * Manage lab logistics including ... Python scripting experience. * Familiarity with Android Debug Bridge. * Experience with Linux ...

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All JobsPython Automation Testing JobsPython Automation Testing Jobs in San Jose, CA

Python Automation Testing information

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How much do python automation testing jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for python automation testing in San Jose, CA is $60.08, according to ZipRecruiter salary data. Most workers in this role earn between $51.83 and $68.46 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a Python Automation Testing professional, and why are they important?

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 some common challenges faced in a Python Automation Testing role, 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 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.
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