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Python Automation Testing Jobs in Colorado (NOW HIRING)

Code, LLC

Senior Hardware Enginee

Louisville, CO · On-site

Experience using scripting languages such as Python for automation, testing, or characterization. * Strong communication skills and ability to collaborate across hardware, software, and systems ...

Code, LLC

Senior Hardware Enginee

Louisville, CO · On-site

$170K - $200K/yr

Experience using scripting languages such as Python for automation, testing, or characterization. * Strong communication skills and ability to collaborate across hardware, software, and systems ...

Code, LLC

Senior Hardware Enginee

Louisville, CO · On-site

$170K - $200K/yr

Experience using scripting languages such as Python for automation, testing, or characterization. * Strong communication skills and ability to collaborate across hardware, software, and systems ...

Micron

Staff Engineer, FW & Product Test

Longmont, CO · On-site

$121K - $239K/yr

Proficiency in Python, including experience with libraries such as NumPy, pandas, and Scikit-learn * Experience with test automation, testing methodologies, validation frameworks, and code review ...

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All JobsPython Automation Testing JobsPython Automation Testing Jobs in Colorado

Python Automation Testing information

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How much do python automation testing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for python automation testing in Colorado is $53.92, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $61.44 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed for Python automation testing?

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 common challenges in Python automation testing, 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 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 Colorado?

For Python Automation Testing jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Python Automation Testing jobs in Colorado look for?

The top searched job categories for Python Automation Testing jobs in Colorado are:

Python Automation Testing jobs near you
Infographic showing various Python Automation Testing job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,150 per year, or $53.9 per hour.

SDET / Infrastructure Automation Engineer

Techvilla Solutions

Lakewood, CO • On-site

$52.25 - $69.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a hands-on SDET / Wireless Automation Engineer III to design, develop, and maintain automation across infrastructure and engineering environments. The ideal candidate will have strong expertise in Ansible, Terraform, Linux, Python/Bash scripting, Cassandra, and Oracle, along with experience integrating automation into CI/CD pipelines. Familiarity with AI-assisted development tools is required, with an emphasis on independent engineering judgment and validation of AI-generated solutions.

Roles and Responsibilities
  • Design, develop, and maintain Ansible playbooks, roles, and automation workflows for configuration management, deployment, and operational tasks.
  • Develop and manage Terraform modules, providers, and state for infrastructure provisioning and maintenance.
  • Administer, troubleshoot, and optimize Linux environments, including RHEL, CentOS, and Ubuntu.
  • Support Cassandra and Oracle databases, including querying, basic administration, troubleshooting, schema/data operations, and performance tuning.
  • Integrate automation solutions with CI/CD pipelines and Git-based version control.
  • Develop automation scripts and tooling using Python, Bash, or similar scripting languages.
  • Troubleshoot automation failures, infrastructure drift, configuration issues, and deployment problems across environments.
  • Use AI-assisted development tools such as GitHub Copilot, Claude, or similar tools to improve development efficiency while independently reviewing, testing, and validating generated code.
  • Document automation playbooks, Terraform modules, processes, and operational procedures for maintainability and knowledge transfer.
  • Collaborate with network, database, security, and platform engineering teams to gather requirements and deliver reliable automation solutions.
  • Apply strong problem-solving skills and independently manage technical assignments in a contract environment.
Required Qualifications
  • Strong hands-on experience with Ansible, including developing and maintaining playbooks and roles.
  • Strong experience with Terraform, including modules, providers, and state management.
  • Strong Linux system administration and troubleshooting experience.
  • Proficiency in Python, Bash, or similar scripting languages.
  • Practical experience with Cassandra and Oracle databases.
  • Experience with Git and CI/CD concepts and tools.
  • Experience using AI-assisted development tools for coding, scripting, automation, or troubleshooting, with the ability to critically evaluate and validate AI-generated output.
  • Strong analytical, troubleshooting, and independent problem-solving skills.
Preferred Qualifications
  • Understanding of Wi-Fi/wireless networking concepts, including SSIDs, access points, wireless protocols, and basic troubleshooting.
  • Experience with additional configuration management or IaC tools such as Puppet, Chef, or CloudFormation.
  • Experience with monitoring and observability tools.
  • Experience with AWS, Azure, or GCP.
  • Previous experience in SDET, test automation, wireless testing, or network automation environments.

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