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Ai Automation Testing Jobs in Colorado (NOW HIRING)

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Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in Colorado?

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

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

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

What cities in Colorado are hiring for Ai Automation Testing jobs?

Cities in Colorado with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you

SDET / Infrastructure Automation Engineer

Indian Hills, CO • On-site

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

$46 - $60.75/hr

Full-time

Posted 7 days ago

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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