1

Python Automation Testing Jobs in Michigan (NOW HIRING)

MLOps Automation Senior Lead Engineer

Chicago, IL · On-site +1

$107K - $140K/yr

Build automated testing solutions in support of quality management objectives to reduce manual ... Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with Python or PySpark for data processing, automation, testing, or analytics. * Exposure to cloud data platforms or cloud services such as AWS, GCP, Snowflake, BigQuery, Databricks, or ...

Strong development experience including design, testing, and implementation in AI automation * Experience with programming languages (Python, etc.) * Experience with deploying LLMs and building ...

Strong development experience including design, testing, and implementation in AI automation * Experience with programming languages (Python, etc.) * Experience with deploying LLMs and building ...

Strong development experience including design, testing, and implementation in AI automation * Experience with programming languages (Python, etc.) * Experience with deploying LLMs and building ...

Embedded Security Engineer

Dearborn, MI · On-site

$121K - $159K/yr

Implement primarily in C/C++, with supporting development in Python and Java for tooling, automation, testing, and integration activities as needed. * Work within Classic AUTOSAR architecture and ...

... and automation frameworks for analyzing data and delivering ongoing quality metrics (leveraging SQL, PL SQL, UNIX, PYTHON, HIVE and other tools) Qualifications : Four or more years of test ...

... testing, implementation, and documentation. * Perform other duties as assigned. Required Skills and Qualifications * Python programming experience * Experience developing automation scripts and API ...

next page

Showing results 1-20

Python Automation Testing information

See Michigan salary details

$9

$44

$65

How much do python automation testing jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for python automation testing in Michigan is $44.69, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $50.91 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 cities in Michigan are hiring for Python Automation Testing jobs? Cities in Michigan with the most Python Automation Testing job openings:
Infographic showing various Python Automation Testing job openings in Michigan as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $92,961 per year, or $44.7 per hour.
Senior Software Engineer - Platform

Senior Software Engineer - Platform

General Motors

Warren, MI • On-site

$115K - $151K/yr

Full-time

Posted 10 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 307 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description
The Role:
General Motors is seeking a Senior Software Engineer to support, design, and improve delivery of enterprise applications, integrations, and intelligent platform capabilities across the Global Physical Security and Medical portfolio. This role focuses on modernizing mission-critical solutions across on-prem, cloud, SaaS, and hybrid environments, strengthening system reliability, enabling scalable integrations, and driving technical execution across a complex operational landscape. The Senior Software Engineer will also help introduce AI-enabled capabilities in practical, secure, and responsible ways, supporting automation, advanced insights, and intelligent workflows that improve both service delivery and business decision-making.
What You'll Do:
  • Build, maintain, and support COTS applications on Unix and Windows platforms that are essential to business operations
  • Deploy applications and infrastructure as code using Terraform and similar tools
  • Lead and support application migrations to SaaS and cloud-based platforms
  • Create, maintain, and improve automation and operational scripts for deployments, backups, monitoring, rollbacks, and routine maintenance
  • Build and support CI/CD pipelines across applications, integrations, and platform services
  • Monitor platform health and data pipelines, including alerting, capacity planning, performance tuning, and operational readiness
  • Plan and execute backups, disaster recovery testing, and restore procedures for supported applications
  • Enforce security best practices including secrets management, RBAC, patching, vulnerability remediation, SSO/SAML, and audit logging
  • Troubleshoot incidents across the application and integration stack, perform root cause analysis, and produce post-incident documentation
  • Maintain runbooks, playbooks, technical documentation, and regular housekeeping procedures
  • Drive improvements in system reliability, maintainability, observability, and supportability
  • Apply modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governance
  • Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes
  • Develop agentic AI solutions that streamline business processes and enable practical, secure, and responsible use of AI
  • Evaluate new tools and technologies through proofs of concept
  • Mentor junior engineers and collaborate cross-functionally to deliver scalable platform and integration solutions

Your Skills & Abilities (Required Qualifications):
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of professional software engineering, systems engineering, or platform support experience
  • Strong experience with scripting and automation using Bash, Python, Java or similar languages
  • Hands-on experience with Terraform, GitHub, Linux, Windows Server, and SSO/SAML
  • Experience with cloud platforms such as AWS and/or Azure
  • Experience building and supporting CI/CD pipelines, deployment automation, testing strategies, and environment promotion
  • Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling
  • Experience deploying and supporting containerized applications using Docker, Kubernetes, or similar technologies
  • Experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis
  • Strong Linux administration and networking fundamentals
  • Solid understanding of security practices including RBAC, secrets management, TLS, patching, and audit controls
  • Demonstrated ability to evaluate, design, and implement deployment architectures for complex data and application platforms
  • Excellent troubleshooting, communication, and documentation skills

What Will Give You A Competitive Edge (Preferred Qualifications):
  • Experience with BrowserStack
  • Experience with OTEL, DataDog, and modern observability practices
  • Practical experience with tools such as Databricks Genie, Glean, Cursor, GitHub Copilot, or similar AI-enabled engineering tools
  • Familiarity with MCP-style integrations and AI tools that connect to enterprise systems and services
  • Experience applying AI and LLM capabilities to operational workflows, analytics, and decision support
  • Ability to uncover patterns and insights in structured and semi-structured data and translate them into business actions
  • Experience building real-time alerts, operational signals, predictive indicators, or intelligent automation workflows
  • Strong ability to frame AI-assisted analytical problems, evaluate model output quality, and apply responsible AI practices across governance, security, privacy, and quality

#LI-SB3
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908