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Qa Tester With Python Jobs in Philadelphia, PA (NOW HIRING)

Identifies viable test strategies to support testing product functionality. * Works with product ... Scripting knowledge - bash/Python/Java script * Experience using Linux/Unix systems - should be ...

Identifies viable test strategies to support testing product functionality. * Works with product ... Scripting knowledge - bash/Python/Java script * Experience using Linux/Unix systems - should be ...

... testing teams to ensure test validation tasks are successfully completed in accordance with project ... Python; and developing Behavior Driven Testing frameworks. Venerable Values: Every position at ...

Appium / Espresso / XCUITest Strong experience designing automation frameworks from scratch Jenkins, Git, Bitbucket, Perforce & CI/CD Mobile UI, functional, regression & performance testing GitHub ...

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Qa Tester With Python information

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$15

$43

$63

How much do qa tester with python jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for qa tester with python in Philadelphia, PA is $43.34, according to ZipRecruiter salary data. Most workers in this role earn between $33.22 and $52.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a QA tester with Python, and why are they important?

To thrive as a QA Tester with Python, you need a solid understanding of software testing methodologies, scripting in Python, and familiarity with bug tracking and test management tools, often supported by a degree in computer science or related experience. Proficiency in using automated testing frameworks like Selenium, pytest, or Robot Framework, as well as version control systems such as Git, is typically required. Attention to detail, analytical thinking, and strong collaboration skills help QA testers effectively identify issues and communicate findings with development teams. These competencies ensure high-quality software releases, efficient defect detection, and smooth teamwork throughout the development lifecycle.

What is the difference between Qa Tester With Python vs Manual Qa Tester?

AspectQa Tester With PythonManual Qa Tester
SkillsPython scripting, automation tools, test automation frameworksTest case execution, defect reporting, manual testing techniques
CertificationsISTQB, Python certifications often preferredISTQB, Certified Software Tester (CSTE)
Work EnvironmentAutomation testing, scripting, CI/CD pipelinesManual testing, exploratory testing, user scenario testing
Industry UsageTech companies, software development firmsVariety of industries including finance, healthcare, retail

Qa Tester With Python focuses on automation, scripting, and using Python to develop test scripts, while Manual Qa Tester emphasizes executing test cases manually and identifying defects without automation tools. Both roles are essential in quality assurance, but Qa Tester With Python typically requires programming skills, making it suitable for automation-heavy environments.

What does a QA tester with Python do?

A QA Tester with Python is responsible for ensuring the quality and functionality of software applications by designing, developing, and executing test cases using the Python programming language. They write automated scripts to identify bugs, verify new features, and ensure that software meets the required standards before release. Their role often involves collaborating with developers and other QA team members to improve testing processes and maintain high software quality.

How does a QA tester with Python typically collaborate with developers and other team members during the software development lifecycle?

QA Testers with Python play a key role in cross-functional teams by working closely with developers, product managers, and sometimes UX designers. They participate in sprint planning to understand new features and requirements, write automated test scripts in Python, and provide prompt feedback on bugs or issues. Regular communication is essential, as QA Testers often review code changes, clarify expected behaviors, and work with developers to resolve defects quickly. This collaborative approach helps ensure software quality and timely releases.

What are popular job titles related to Qa Tester With Python jobs in Philadelphia, PA?

For Qa Tester With Python jobs in Philadelphia, PA, the most frequently searched job titles are:

Infographic showing various Qa Tester With Python job openings in Philadelphia, PA as of August 2026, with employment types broken down into 2% Internship, 80% Full Time, 9% Part Time, 1% Temporary, and 8% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $90,145 per year, or $43.3 per hour.

AWS Devops with Python

TestingXperts Inc. DBA Damcosoft

West Point, PA โ€ข On-site

$51.25 - $70/hr

Contractor

Re-posted 4 days ago


Job description

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website www.testingxperts.com.

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

Job Title - AWS DevOps with Python 
Location – West Point, Pennsylvania (100% Onsite)

W2 only 

Primary & Secondary Skill

AWS DevOps with Python

JD (Detailed)

1. Design, implement and manage CI/CD pipelines for automated deployments.
2.Build and manage AWS infrastructure (EC2, S3, Lambda, RDS, VPC, IAM).
3.Develop automation scripts using Python for provisioning and operational tasks.
4.Implement Infrastructure as Code (IaC) using tools like CloudFormation / Terraform.
5.Monitor system performance using tools like CloudWatch and troubleshoot issues.
6.Ensure high availability, scalability, and security of cloud infrastructure.
7.Manage containerized applications using Docker and Kubernetes.
8.Collaborate with development, QA, and operations teams to streamline deployments.
9.Automate release management and improve deployment efficiency and reliability.
10.Troubleshoot production issues and support incident management.