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Python Automation Testing Jobs in Santa Clara, CA

Software Engineer - Test Automation

Milpitas, CA · On-site

$52.50 - $69.25/hr

Responsibilities : • Own end-to-end testing activities for key project features as an individual ... Required : • Proficiency in Python, Java, C++, C#, or R. • Experience with TensorFlow, PyTorch ...

Responsibilities : • Own end-to-end testing activities for key project features as an individual ... Required : • Proficiency in Python, Java, C++, C#, or R. • Experience with TensorFlow, PyTorch ...

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

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 ...

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Python Automation Testing information

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How much do python automation testing jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for python automation testing in Santa Clara, CA is $60.56, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $68.99 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.
What are popular job titles related to Python Automation Testing jobs in Santa Clara, CA? For Python Automation Testing jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Automation Testing jobs in Santa Clara, CA look for? The top searched job categories for Python Automation Testing jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Automation Testing jobs? Cities near Santa Clara, CA with the most Python Automation Testing job openings:
Software Engineer - Test Automation

Software Engineer - Test Automation

KLA

Milpitas, CA • On-site

$52.50 - $69.25/hr

Full-time

Posted 3 days ago


Job description

Job Summary:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. They are seeking a highly skilled Software Engineer in Test Automation to own end-to-end testing activities, perform automation testing, and lead test planning while collaborating with various teams.
Responsibilities:
• Own end-to-end testing activities for key project features as an individual contributor.
• Perform automation testing together with balanced mix of manual testing as needed for software and hardware-integrated products.
• Lead test planning, test strategy execution, and collaborate with colleagues across engineering, algorithms, systems, hardware, marketing, applications, and manufacturing teams.
• Build systems that involve databases and our in-house automated testing framework.
• Automate the process of extracting test result data from different sources.
• Use intelligent algorithms, e.g. LLM, and business logic to find the root cause of software failures.
• Integrate and transform the scattered data and flat log files into homogeneous format and load them into our database.
• Present them in an actionable manner through Power BI, dashboards, and other reporting and graphing tools.
Qualifications:
Required:
• Proficiency in Python, Java, C++, C#, or R.
• Experience with TensorFlow, PyTorch, Keras, or similar.
• Strong skills in SQL, NoSQL databases, and data preprocessing.
• Solid understanding of algorithms, data structures, machine learning models, and statistical methods.
• Deep understanding in profiling, scaling and tuning of relational (such as SQL Server) and non-relational databases (such as Redis, MongoDB)
• Understand system-level requirements and translate them into good software design
• Strong knowledge in computer architecture, design patterns, UI frameworks, and API design
• Strong communication skills (written and verbal)
Preferred:
• Master's Level Degree and related work experience of 6+ years; Bachelor's Level Degree and related work experience of 8+ years
• Knowledge with technologies like Kafka, Kubernetes, MySQL, Hadoop, BigQuery and other open-source databases
• Experience with Continuous Integration tools and process—Jenkins preferred
• Experience with REST API testing tools and automation frameworks—Postman/RestSharp is a plus
Company:
Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.