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Python Automation Testing Jobs in Pennsylvania (NOW HIRING)

Verinext

Fullstack Python Developer

Center Square, PA · Remote

... testing, deployment, maintenance, and support of automation solutions. This role is primarily ... React, Next.js, Python (Django and/or FastAPI), SQL * Deep knowledge of web and application ...

TEKsystems

SDET

Philadelphia, PA · Hybrid

$60 - $65/hr

Any Work on entertainment domain would be a plus Heavy Automation testing Javascript or Python Nodejs experience Cypress or any framework would work Utilize AI at some point - using AI models - how ...

TEKsystems

SDET

Philadelphia, PA · Hybrid

$60 - $65/hr

Any Work on entertainment domain would be a plus Heavy Automation testing Javascript or Python Nodejs experience Cypress or any framework would work Utilize AI at some point - using AI models - how ...

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How much do python automation testing jobs pay per hour?

As of May 31, 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 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in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts.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 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 popular job titles related to Python Automation Testing jobs in Pennsylvania? For Python Automation Testing jobs in Pennsylvania, the most frequently searched job titles are:
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:
Python Automation Testing jobs near you
Infographic showing various Python Automation Testing job openings in Pennsylvania as of May 2026, with employment types broken down into 91% Full Time, 3% Part Time, 5% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $106,912 per year, or $51.4 per hour.
Ai Engineer-Python, LAG/LLM & Agentic Platform Development

Ai Engineer-Python, LAG/LLM & Agentic Platform Development

System One

Pittsburgh, PA

Other

Posted 16 days ago

Job description

Senior Full Stack Engineer – AI/LLM Platform
5 days onsite Pittsburgh, PA / Farmers Branch, TX / Strongsville, OH / Birmingham, AL / Phoenix, AZ
Contract to Hire
JOB DESCRIPTION
The Software Engineer Sr is responsible for designing, developing, and supporting scalable software solutions for Intelligent Automation initiatives leveraging AI technologies. This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies.
The ideal candidate will combine strong full-stack engineering capabilities with modern AI/ML system design experience to deliver intelligent, scalable, and data-aware applications. The role requires close collaboration with product managers, data scientists, business teams, and engineering partners to deliver enterprise-grade AI-powered solutions.
Must Have
• Ability to design fault-tolerant production systems
• Agile development experience
• APIs and API platform engineering
• Large Language Model (LLM) fundamentals
• Strong Python development experience
• Retrieval-Augmented Generation (RAG)
• Strong experience building production-grade services using Python and/or Java
• Experience integrating LLMs or AI services into enterprise applications
• Experience designing and operating API-based platforms
• Systems design and engineering expertise
Nice To Have
• Experience with relational databases
• Java
• Jira
• Microsoft Office
Key Responsibilities
AI Platform Engineering
• Design and develop scalable AI-powered applications using Python and modern software engineering practices
• Build and support Agentic AI platform capabilities for enterprise internal users
• Integrate Large Language Models (LLMs) and AI services into enterprise applications
• Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent data-aware systems
• Implement scalable API-based services and AI integration platforms
• Design resilient and fault-tolerant distributed systems for production environments
Software Development & Engineering
• Modify existing software to correct errors, improve performance, and upgrade functionality
• Design and develop software systems using scientific analysis and engineering best practices
• Create scalable backend services and APIs supporting enterprise platforms
• Support full software development lifecycle activities including analysis, development, testing, deployment, and support
• Troubleshoot system issues and implement production improvements as needed
• Develop and execute software testing and validation procedures
Systems Design & Architecture
• Design secure, scalable, and maintainable enterprise solutions
• Build production-grade services capable of supporting enterprise-scale workloads
• Define system integrations and API communication patterns
• Collaborate with engineering teams to establish technical specifications and performance requirements
• Support operational excellence, monitoring, and continuous improvement initiatives
Cross-Functional Collaboration
• Work closely with product managers, data scientists, designers, QA teams, and business partners
• Participate in Agile ceremonies and engineering planning activities
• Communicate technical solutions effectively across technical and non-technical teams
• Support enterprise initiatives impacting organization-wide AI adoption and automation
Preferred / Flex Skills
• Java development experience
• Experience with relational databases and SQL
• Familiarity with Jira and Agile project tracking tools
• Exposure to enterprise AI/ML platforms and intelligent automation solutions
• Financial Services or Banking industry experience preferred
Soft Skills
• Strong written and verbal communication skills
• Excellent problem-solving and analytical abilities
• Ability to work independently and collaboratively within teams
• Strong time management and multitasking capabilities
• Adaptability in fast-paced enterprise environments
Education
• Bachelor’s Degree in Computer Science, Engineering, or related field preferred
• Equivalent work experience will be considered
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