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Python Automation Testing Jobs in Illinois (NOW HIRING)

Design, develop, and maintain scalable automation frameworks using Python, Java, Selenium, and API testing tools. * Implement automated testing for backend services, data pipelines, and cloud-native ...

You'll be hands-on in configuring, testing, and deploying Workday Financials modules while ... Exposure to technical technologies like Python, SQL, BI platforms, ETL tools and AI tooling

... testing processes. * Understand complex application architecture and design effective automation test frameworks. * Build end-to-end web QA automation with Python for the back end, using GitHub ...

Principal QA Automation Engineer

Chicago, IL · On-site +1

$121K - $151K/yr

... automation frameworks (5%). Lead the design, development, and maintenance of enterprise-grade ... Python, or Java (5%). Implement automated visual regression, integration, and exploratory testing ...

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Python Automation Testing information

See Illinois salary details

$10

$49

$73

How much do python automation testing jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for python automation testing in Illinois is $49.69, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $56.59 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 Illinois look for? The top searched job categories for Python Automation Testing jobs in Illinois are:
What cities in Illinois are hiring for Python Automation Testing jobs? Cities in Illinois with the most Python Automation Testing job openings:
Infographic showing various Python Automation Testing job openings in Illinois as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $103,352 per year, or $49.7 per hour.
Senior QA Automation Engineer

Senior QA Automation Engineer

PDF Solutions

Deer Park, IL • On-site

$80K - $125K/yr

Full-time

Posted 2 days ago


Job description

Overview
PDF Solutions is redefining the way the semiconductor industry approaches data, analytics, and experience design. As part of our journey, we're building Next gen platform - a modern, human-centered analytics platform. We believe design systems aren't just about consistency - they're about scalability, collaboration, and performance.
The Senior QA Automation Engineer will play a critical role in ensuring the accuracy, reliability, security, and performance of our AI-enabled integration platform.
This role goes beyond traditional UI testing. You will design and implement automation frameworks for backend services, cloud-native deployments, and machine learning-driven applications. You will be deeply involved in validating data pipelines, testing ML forecasts against historical datasets, and ensuring platform readiness across multi-cloud and containerized environments.
The ideal candidate brings a strong automation-first mindset, hands-on experience with ML application testing, and the ability to work closely with engineering, data science, and DevOps teams to embed quality throughout the SDLC.
Responsibilities
Automation & Test Engineering
  • Design, develop, and maintain scalable automation frameworks using Python, Java, Selenium, and API testing tools.
  • Implement automated testing for backend services, data pipelines, and cloud-native microservices.
  • Build reusable test components for regression, integration, and performance testing.

AI / ML Application Validation
  • Validate machine learning models by evaluating prediction accuracy against historical and real-world datasets.
  • Design test strategies for forecasting, anomaly detection, and analytics pipelines used in integration platforms.

Cloud, Container & DevOps Testing
  • Test applications deployed as Docker containers across multiple cloud environments.
  • Contribute to Helm charts, deployment pipelines, and test environments.
  • Integrate automated tests into CI/CD pipelines and DevOps workflows.

Security, Reliability & Observability
  • Perform security testing using tools such as SQLMap, OWASP ZAP, and vulnerability scanners.
  • Validate system reliability, fault tolerance, and recovery scenarios.
  • Support observability testing using logs, metrics, and monitoring tools (e.g., Prometheus, Grafana).

Quality Leadership
  • Advocate for quality-driven engineering practices and shift-left testing strategies.
  • Collaborate with cross-functional teams to define test strategies aligned with product and business goals.
  • Mentor junior QA engineers and contribute to continuous improvement of QA standards.

Qualifications
Must-Have Skills & Experience
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 6-10+ years of experience in QA Automation and test engineering.
  • Strong hands-on experience with:
    • Automation frameworks: Selenium, Python, Java
    • API & backend testing
    • Test design for distributed systems
  • Experience testing AI/ML-based applications, including data validation and model accuracy testing.
  • Solid understanding of cloud-native architectures, Docker, and Kubernetes.
  • Experience integrating automation into CI/CD pipelines.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Experience working in Agile/Scrum

Nice to Have
  • Client facing experience in either sales or business development
  • Exposure to data engineering pipelines and large-scale analytics systems.
  • Experience with DevOps practices, infrastructure as code, and platform automation.
  • Knowledge of observability stacks (InfluxDB, Prometheus, Grafana).
  • Prior experience in SaaS or enterprise-scale platforms.
  • Knowledge of manufacturing or shop-floor applications like MES (SiView, Fab300, etc) and equipment automation
  • Knowledge of ERP integration strategies and EAI in general
  • Ability to travel on company business, attend client functions, and professionally represent the company
  • Certifications: Relevant certifications from public cloud solutions, ITIL, ISO 20000, COBIT.
  • Agile Methodologies: Experience working in Agile/Scrum environments.

Pay Range
USD $80,000.00 - USD $125,000.00 /Yr.