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Python Automation Testing Jobs in Clinton Township, MI

... and Python experience to help design, build, and evolve production-grade data and automation ... Drive engineering quality through strong design, code reviews, testing, CI/CD automation ...

Embedded Software Engineer

Warren, MI ยท On-site

$123K - $162K/yr

Proficiency with software build systems like GNU Make, CMake, Gradle, automation testing tools ... Python, Rust, etc.) * Familiarity with RESTful APIs for client-server integration. * Knowledge of ...

Full Stack Developer

Dearborn, MI ยท On-site

$61 - $66/hr

Drive engineering quality through strong design, code reviews, testing, CI/CD automation ... Spring Boot, Python, Google Cloud Platform, SQL Skills Preferred * GCP Cloud Run, Angular, Spring ...

Drive engineering quality through strong design, code reviews, testing, CI/CD automation ... Spring Boot, Python, Google Cloud Platform, SQL Skills Preferred * GCP Cloud Run, Angular, Spring ...

AI QE Architect and Governance Leader

Southfield, MI ยท On-site

$153K/yr

Strong experience building test automation frameworks using Python, PyTest, Selenium, Playwright ... Proficiency in API testing and validation of RESTful services. * Plus: Experience with performance ...

HIL Engineer - 525697

Novi, MI ยท On-site

$77K - $103K/yr

Develop and maintain test automation using Python, CAPL, and related frameworks. * Integrate HIL testing into CI/CD pipelines (e.g., Jenkins, GitHub Actions) for rapid regression feedback. * Support ...

... testing environments. Hands-on experience with Playwright or similar automation tools (e.g., Selenium, Cypress). Experience writing clean JavaScript, Python, TypeScript, or Java code. Strong code ...

... automation (leveraging PowerShell/Python/Bash etc. to drive data into reports and dashboards) * Malware analysis/forensic system analysis * Incident response and remediation * Penetration testing of ...

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Python Automation Testing information

See Clinton Township, MI salary details

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How much do python automation testing jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for python automation testing in Clinton Township, MI is $50.66, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $57.69 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.
Full Stack Developer

Full Stack Developer

Stefanini

Dearborn, MI โ€ข On-site

Other

Posted 21 days ago


Job description


Stefanini Group is hiring!
Stefanini is looking for a FullStack Developer(Dearborn, MI)
For quick apply, please reach out to Saurabh Kapoor at /
We are looking for a Senior Software Engineer - Data Platform with strong Java and Python experience to help design, build, and evolve production-grade data and automation solutions. This role is ideal for an engineer who combines strong software engineering fundamentals with practical experience delivering cloud-based data platform capabilities. The right candidate will be able to lead through technical depth, mentor peers, work through ambiguity, and remain highly hands-on in delivery, spending approximately 70-90% of their time writing code and building solutions.
ResponsibilitiesDesign, build, test, deploy, and support scalable software solutions using both Java and Python. Lead the design and implementation of reliable, maintainable, and production-ready data platform and transformation capabilities. Build and enhance cloud-native applications, services, and workflows on Google Cloud Platform.Drive engineering quality through strong design, code reviews, testing, CI/CD automation, observability, and operational excellence. Improve platform reliability, supportability, and scalability through monitoring, logging, alerting, and performance optimization. Contribute to infrastructure automation and environment consistency using Infrastructure as Code practices, including Terraform.Evaluate and apply modern engineering tools, including AI-assisted development workflows, where they improve speed, quality, and team effectiveness.
Skills RequiredSpring Boot, Python, Google Cloud Platform, SQL
Skills PreferredGoogle Cloud Platform Cloud Run, Angular, Spring Boot, Big Query, AIPGEE
Experience Required6+ years of software engineering experience, including significant experience building cloud-based data platforms or data-intensive systems. Strong hands-on development experience in both Java and Python, including design, implementation, testing, and deployment. Proven experience architecting and delivering solutions from concept through production support. Strong understanding of object-oriented design, distributed systems, and modern software engineering practices. - Experience building on public cloud platforms, preferably Google Cloud Platform (Google Cloud Platform). Experience with cloud and data platform technologies such as BigQuery, Dataproc, Cloud Run, Airflow/Astronomer, or similar tools. Experience with CI/CD pipelines, automated testing, and modern version control practices. Experience with Infrastructure as Code, preferably Terraform. Experience implementing observability practices, including logging, monitoring, alerting, and operational diagnostics for production systems.
Experience PreferredExperience building data platforms, data-intensive applications, or large-scale transformation pipelines. Experience in automotive, manufacturing, telemetry, or other large-scale operational data environments. Experience working in a large global organization with diverse stakeholders and competing priorities. Experience with backend or full-stack development in support of internal platforms or data products. Experience using AI or automation tools to improve engineering productivity, code quality, testing, or documentation workflows. Google Cloud certification.
Education RequiredBachelor's Degree
Education PreferredCertification Program, Master's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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