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Remote Software Testing Jobs in Colorado (NOW HIRING)

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Implement unit, integration, and system-level testing for ML models , covering data validation ...

Capital Rx

Full Stack Software Developer

Denver, CO ยท On-site +1

$86K - $136K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to ... Strong knowledge of unit testing across multiple paradigms. * Experience working with microservices ...

Trimble

Software Engineer

Westminster, CO ยท On-site +1

$105K - $145K/yr

... remote engineering teams on innovative feature enhancements, ensuring you remain at the pulse of ... Master the product ecosystem by assisting in advanced testing phases to identify and eliminate bugs ...

Viasat, Inc.

Software Architect

Englewood, CO ยท On-site +1

$205K - $307K/yr

Modern methodologies for independently configuring, testing, and deploying microservices ... require remote management and operations * Ability to develop and deliver software using CI / CD ...

DSC Resources

Senior Java Software Engineer

Broomfield, CO ยท Remote

$120K - $150K/yr

Colorado Remote Sr. Java Software Engineer ** Must be US-based only ** ๏ปฟ | No visa sponsorship ... Ensures adherence to IT Control Policies throughout design, development, and testing. * Proactively ...

CommonSpirit Health

IT Software Engineer

Englewood, CO ยท Remote

$43.20 - $71.28/hr

This is a remote opportunity The Software Engineer strives to improve the user experience by ... They perform testing, configuration management for the implementation, enhance or upgrade of ...

Cleerly

Sr. Software Engineer - ML Systems

Denver, CO ยท On-site +1

$176K - $206K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.

Cleerly, LLC

Sr. Software Engineer - ML Systems

Denver, CO ยท On-site +1

$176K - $206K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.

SciTec

Associate Software Engineer

Boulder, CO ยท On-site +1

$81K - $98K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... testing, and deployment of software for delivery to customers * Other duties as assigned ...

SciTec

Associate Software Engineer

Boulder, CO ยท On-site +1

$81K - $98K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... testing, and deployment of software for delivery to customers * Other duties as assigned ...

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Remote Software Testing information

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How much do remote software testing jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for remote software testing in Colorado is $45.75, according to ZipRecruiter salary data. Most workers in this role earn between $35.14 and $55.10 per hour, depending on experience, location, and employer.

What is remote software testing?

Remote software testing is the process of evaluating and verifying the functionality, performance, and security of software applications from a location outside the traditional office environment. Testers use various tools and platforms to access applications, execute test cases, report bugs, and collaborate with development teams online. This approach allows companies to leverage global talent, reduce costs, and offer flexible work arrangements while maintaining high-quality software standards.

What are the key skills and qualifications needed to thrive as a Remote Software Tester, and why are they important?

To thrive as a Remote Software Tester, you need a solid understanding of software development lifecycle, test case design, bug reporting, and typically a degree in computer science or related fields. Familiarity with testing tools such as Selenium, JIRA, TestRail, and knowledge of automation frameworks or ISTQB certification is often required. Attention to detail, strong problem-solving skills, effective communication, and self-motivation are essential soft skills in this remote role. These skills ensure accurate testing, clear documentation, and seamless collaboration with distributed teams, leading to higher software quality.

What is the difference between Remote Software Testing vs Remote QA Analyst?

AspectRemote Software TestingRemote QA Analyst
CredentialsBasic testing certifications, knowledge of testing toolsTesting certifications, QA methodologies, sometimes degree in IT or related fields
Work EnvironmentRemote, often project-based, collaborative teamsRemote, involved in testing, documentation, and process improvement
Industry UsageSoftware development, tech companies, startupsSoftware companies, IT firms, product development teams
Search & Comparison IntentUnderstanding testing roles, entry-level testing jobsQA processes, quality assurance careers, detailed QA roles

Remote Software Testing focuses on executing test cases and identifying bugs, often requiring basic certifications and technical knowledge. Remote QA Analysts have a broader role, including testing, process analysis, and quality improvement, often with additional certifications. Both roles are remote and industry-specific, but QA Analysts typically engage in more comprehensive quality assurance activities.

How do remote software testers effectively communicate and collaborate with development teams?

Remote software testers typically use a variety of collaboration tools such as project management platforms, instant messaging, and video conferencing to stay connected with developers and other stakeholders. Clear, timely communication is essential for reporting bugs, sharing test results, and discussing requirements or issues. Regular stand-up meetings and detailed documentation help ensure everyone stays aligned, even when working across different time zones. Building strong relationships with team members and proactively raising concerns can also improve workflow and project outcomes.
What are the most commonly searched types of Software Testing jobs in Colorado? The most popular types of Software Testing jobs in Colorado are:
What are popular job titles related to Remote Software Testing jobs in Colorado? For Remote Software Testing jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Software Testing jobs in Colorado look for? The top searched job categories for Remote Software Testing jobs in Colorado are:
What cities in Colorado are hiring for Remote Software Testing jobs? Cities in Colorado with the most Remote Software Testing job openings:
Remote Software Testing jobs near you
Infographic showing various Remote Software Testing job openings in Colorado as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $95,152 per year, or $45.7 per hour.
Sr. Machine Learning Software Engineer

Sr. Machine Learning Software Engineer

Cleerly

Denver, CO โ€ข On-site, Remote

$126K - $166K/yr

Full-time

Posted 22 days ago

Job description

About Cleerly

We're Cleerly โ€“ a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.

Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks.

At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.

While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.
Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.

About the Opportunity

We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities
  • Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance.
  • Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging.
  • Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows.
  • Develop and operate end-to-end ML pipelines: ingestion โ†’ preprocessing โ†’ feature engineering โ†’ evaluation โ†’ deployment โ†’ monitoring.
  • Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
  • Identify and resolve workflow inefficiencies or gaps between research and production.
  • Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability.
  • Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows.
Requirements
  • 7+ years of experience in software engineering for ML production or ML platform delivery.
  • Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
  • Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
  • Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
  • Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
  • Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
  • Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.

The base salary range for this role varies by location and is aligned to market benchmarks.

  • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
  • Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

  • Base Salary: $153,000 - $179,000
  • TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Working at Cleerly takes HEART. Discover our Core Values:

  • H: Humility- be a servant leader
  • E: Excellence- deliver world-changing results
  • A: Accountability- do what you say; expect the same from others
  • R: Remarkable- inspire & innovate with impact
  • T: Teamwork- together we win

Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.

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