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Python Automation Testing Jobs in Pennsylvania (NOW HIRING)

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Python Automation Testing information

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$51

$75

How much do python automation testing jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for python automation testing in Pennsylvania is $51.40, according to ZipRecruiter salary data. Most workers in this role earn between $44.33 and $58.56 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 job categories do people searching Python Automation Testing jobs in Pennsylvania look for? The top searched job categories for Python Automation Testing jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python Automation Testing jobs? Cities in Pennsylvania with the most Python Automation Testing job openings:
Software Engineer - Python

Software Engineer - Python

System One

Pittsburgh, PA • On-site

Contractor

Posted 13 days ago


Job description

Job Title: Software Engineer (Python) Duration : Contract to Hire Location : Pittsburgh, Dallas, or Cleveland (Locals Only) Work Mode : 5 Days Onsite Years Of Exp : 6+ Yrs Seeking a Software Engineer with 3–5 years of hands-on experience building, deploying, and operating applications and platform capabilities on Kubernetes/OpenShift. The ideal candidate is proficient in Python, experienced with CI/CD pipeline development, bitbucket and can implement and maintain Policy as Code to enforce governance, security, and compliance across container platforms. You will collaborate with engineering, platform, SRE, and security partners to automate delivery workflows, strengthen reliability and controls, and enable teams to ship software safely and efficiently. Your future duties and responsibilities o Design, develop, and maintain Python-based services, automation tools, and platform utilities supporting containerized workloads. o Build and enhance CI/CD pipelines for automated build, test, security scanning, deployment, and release orchestration. o Deploy, operate, and troubleshoot applications on Kubernetes/OpenShift, including configuration, scaling, upgrades, and runtime issues. o Implement Policy as Code to enforce standards (security, networking, resource controls, image provenance, RBAC, etc.) and prevent configuration drift. o Integrate DevSecOps controls: SAST/DAST, container image scanning, SBOM generation/validation, secrets detection, and compliance checks into pipelines. o Create and maintain infrastructure/platform artifacts such as: o Kubernetes manifests (Deployments, Services, Ingress/Routes, ConfigMaps, Secrets) o Helm charts and/or Kustomize overlays o OpenShift resources (Projects/Namespaces, Routes, SCCs, Operators as applicable) o Improve platform reliability through monitoring/alerting integration and root cause analysis (RCA) for production issues. o Contribute to engineering standards and documentation (runbooks, SOPs, onboarding guides). o Participate in code reviews, design reviews, and agile ceremonies; communicate risks, tradeoffs, and implementation details clearly. Required qualifications to be successful in this role o 3–5 years of professional software engineering experience. o Platform Maintenance Requirements o Strong Python development experience (APIs, automation, scripting, packaging, unit testing). o Experience administering Apache httpd, including mod_proxy, mod_rewrite, and OIDC authentication modules. o Experience configuring Azure EntraID application registrations, client credentials, OAuth2/OIDC endpoint integration, and API permissions — including integrating EntraID as an identity provider into web applications via OIDC. o Preferred - Familiarity with JupyterHub, Apache Airflow, and MLflow in a containerized environment. o Preferred - Working knowledge of Apache Spark standalone cluster deployment and configuration o Preferred Basic React/JavaScript familiarity for maintaining portal UI assets. o Hands-on Kubernetes/OpenShift experience, including deploying and troubleshooting workloads. o Experience building CI/CD pipelines (e.g., Jenkins, UDeploy). o Experience with Policy as Code concepts and tooling, such as: o Static Security Analysis (SAST), Interactive Security Testing (IAST) o Policy testing/validation and policy lifecycle management o Solid understanding of: o Git-based workflows, branching strategies, and pull request reviews o JIRA, Confluence o Linux fundamentals, networking basics, and troubleshooting in distributed systems o Working knowledge of security best practices: RBAC, least privilege, secrets management, and secure SDLC. Required Skills:

  • Bitbucket
  • GIT
  • Python
Ref: #404-IT Pittsburgh