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Remote Automation Testing Jobs in Colorado (NOW HIRING)

Principal Software Engineer

Denver, CO · Remote

$150K - $210K/yr

Net Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must ... Establish and govern engineering best practices for design, development, testing, DevOps, and CI/CD ...

Sr. Software Engineer I

Denver, CO · Remote

$126K - $166K/yr

Octothorpe owns and evolves the tooling and processes that power developer autonomy, automation ... Working experience in a PAAS environment 📍 Location This is a remote-first role. We are ...

IT Solutions Architect

Englewood, CO · Remote

$54.76 - $90.35/hr

Develop data quality components and establish and/or conduct validation testing * Remote eligible ... Eight to ten (8-10) years experience with ETL automation, data management, warehousing Reporting ...

IT Solutions Architect

Englewood, CO · Remote

$54.76 - $90.35/hr

Develop data quality components and establish and/or conduct validation testing * Remote eligible ... Eight to ten (8-10) years experience with ETL automation, data management, warehousing Reporting ...

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Remote Automation Testing information

See Colorado salary details

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How much do remote automation testing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote 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 are some typical challenges faced in a remote automation testing role, and how can they be addressed?

Remote automation testers often encounter challenges like coordinating across different time zones, maintaining effective communication with development teams, and managing test environments remotely. To address these issues, it’s important to utilize clear documentation practices, regularly attend virtual meetings, and leverage project management tools such as Jira or Slack for updates and collaboration. Testers should also proactively set up secure access to cloud-based or shared test environments and develop a system for tracking test runs and results. With these strategies, remote testers can overcome common hurdles, ensuring that their testing processes remain smooth and the quality of deliverables is maintained.

What are the key skills and qualifications needed to thrive in the Remote Automation Testing position, and why are they important?

To excel in Remote Automation Testing, you need a strong background in software testing methodologies, programming skills (such as Python, Java, or JavaScript), and experience in automation frameworks like Selenium or Cypress. Familiarity with continuous integration/continuous deployment (CI/CD) tools, cloud-based testing environments, and relevant certifications such as ISTQB or Certified Selenium Tester is highly beneficial. Effective communication, time management, and problem-solving abilities are essential soft skills for remote collaboration and troubleshooting. These competencies are vital for ensuring software quality, seamless teamwork, and efficient test automation in a distributed work environment.

Can you work remotely as a QA tester?

Yes, remote QA testing jobs are common in the industry, allowing testers to perform tasks such as test case creation, execution, and defect reporting from any location. These roles often require familiarity with automation tools, scripting, and communication platforms, and may involve flexible schedules depending on the employer.

Are QA testers in demand in 2026?

QA testers in demand in 2026 are expected to grow due to increasing reliance on software quality assurance, automation tools like Selenium and Jenkins, and the need for continuous testing in agile environments. Skills in scripting, test automation, and familiarity with CI/CD pipelines will enhance job prospects for remote automation testers.

What is a Remote Automation Testing job?

A Remote Automation Testing job involves designing, developing, and executing automated test scripts to verify the functionality of software applications while working remotely. Testers use automation frameworks and tools like Selenium, Cypress, or Appium to ensure software quality. They collaborate with development teams, identify bugs, and enhance test efficiency. Remote testers must have strong programming skills, analytical thinking, and experience with CI/CD pipelines. This role allows professionals to work from anywhere while contributing to high-quality software releases.

Are automation testers in demand?

Automation testers are in high demand due to the increasing reliance on software quality assurance and the adoption of testing tools like Selenium, JUnit, and TestNG. Companies seek professionals skilled in scripting, test automation frameworks, and continuous integration to improve testing efficiency and coverage.

Will AI replace automation testers?

AI is transforming automation testing by enabling faster and more efficient test case generation and execution. However, automation testers are needed to design, maintain, and interpret AI-driven testing tools, making their role essential for ensuring software quality and adapting to new technologies. Human oversight remains critical in complex testing scenarios and in understanding business requirements.
What are the most commonly searched types of Automation Testing jobs in Colorado? The most popular types of Automation Testing jobs in Colorado are:
What are popular job titles related to Remote Automation Testing jobs in Colorado? For Remote Automation Testing jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Automation Testing jobs in Colorado look for? The top searched job categories for Remote Automation Testing jobs in Colorado are:
What cities in Colorado are hiring for Remote Automation Testing jobs? Cities in Colorado with the most Remote Automation Testing job openings:

Senior MLOps Platform Engineer {S}

ARKA Group

Colorado Springs, CO • On-site, Remote

$90K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

Our AI Center of Excellence builds the next generation of Agentic AI products that autonomously reason, plan, and act on behalf of our customers. To deliver these capabilities at scale, we need a platform engineering group that provides a robust, secure, and highly available MLOps foundation across both on premise clusters and AWS. The team works closely with data scientists, product engineers, and SREs to turn experimental models into reliable services that power mission critical applications. 

In support of work/life balance, many positions are available for a flexible schedule within the pay period.  Ask us about the opportunity for flex scheduling if that’s of interest to you. 

Why join us 

  • Shape the end-to-end lifecycle of cutting-edge AI services—from model training to production inference. 
  • Influence architecture decisions for a hybrid cloud environment that will serve thousands of concurrent agents. 
  • Collaborate with world-class researchers and product teams while enjoying a strong engineering culture focused on automation, observability, and reliability. 

      Responsibilities: 

      • Design, implement, and operate a unified MLOps platform that supports both on-premise Kubernetes clusters and AWS. The platform should enable rapid onboarding of new Agentic AI services and provide consistent governance across environments. 
      • Develop reusable CI/CD pipelines (GitLab CI) for model packaging, containerization, automated testing, canary releases, and rollbacks. 
      • Build observability, monitoring, and alerting stacks (Prometheus, Grafana, OpenTelemetry, CloudWatch) to track inference latency, throughput, resource utilization, and data drift for real time and batch workloads. 
      • Create self-service tooling (CLI, SDKs, UI dashboards) that allows data science and product teams to register models, define inference endpoints, and manage versioning without deep DevOps involvement. 
      • Architect and maintain data pipelines that feed training data, model artifacts, and inference logs into a governed data lake (S3, on prem object store). 
      • Collaborate with research and product engineers to translate experimental Agentic AI prototypes into production grade services, ensuring reproducibility, security, and compliance. 
      • Drive performance optimization for inference workloads (GPU/CPU scaling, model quantization, batching strategies) 
      • Champion best practices in security (IAM, network policies, secret management), cost efficiency, and disaster recovery for the hybrid infrastructure. 
      • Mentor junior engineers and contribute to internal knowledge bases, upskilling, and review processes. 

      Required Qualifications:

      • BS in computer science or related engineering field
      • 5+years of experience building and operating production grade software infrastructure, preferably in a hybrid onprem / cloud environment
      • Deep expertise with Kubernetes (cluster provisioning, Helm, operators, custom resources) and container runtimes (Docker, OCI)
      • Hands on experience with AWS services (EKS, SageMaker, S3, IAM, CloudWatch, Step Functions) and the ability to bridge onprem resources with AWS via VPN/Direct Connect
      • Strong software engineering skills in Python and at least one compiled language (Go, Rust, or Java) for building platform components and SDKs
      • Proficiency with CI/CD and GitOps tooling (Argo CD, Flux, Gitlab, GitHub Actions, or similar)
      • Solid understanding of distributed systems (consensus, fault tolerance, load balancing) and experience tuning high throughput, low latency inference pipelines
      • Experience with data engineering frameworks (Airflow, Prefect, Kafka, Spark, Flink) and building robust, versioned data pipelines
      • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK) and the ability to define meaningful SLIs/SLOs for AI services
      • Track record of collaborating with research or product teams to move prototypes to production, translating experimental code into maintainable services
      • Strong problem solving mindset, excellent written and verbal communication, and a passion for building scalable AI platforms

      Preferred Qualifications:

      • Working knowledge of Scrum and Agile software development methodology

      Location: Remote

      This is a remote position that will primarily be supporting our Aurora, CO and King of Prussia, PA locations.  Due to contract requirements, the job has to be performed from a remote location in the United States.

      What We Offer:

      • Comprehensive medical/vision/dental insurance packages
      • Company contributions to qualified HSA accounts
      • 401k retirement plan with industry leading company contributions
      • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
      • 13 paid holidays
      • Upfront tuition assistance for approved degree programs
      • Annual bonus program based on company and employee performance
      • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
      • 4 weeks paid Parental Leave
      • Employee assistance program (EAP)

      EHS/Environmental Requirements:

      This job operates alongside a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

      Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

      ITC & Security Clearance Requirements:

      This position requires the incumbent to access export-controlled information. If you are not a U.S. Person, any offer is contingent upon the Company's ability to obtain a special license granting you access. This could take several months. You will not be able to begin employment until such license is obtained.

      Visa Restrictions:

      No visa sponsorship is available for this position.

      Pre-employment Screenings:

      Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.