2

Remote Python Automation Engineer Jobs in Colorado

Cloud Engineer

Boulder, CO ยท On-site +1

$58.75 - $78.50/hr

Will be open for remote only if we have no onsite candidate. Onsite candidates are first preferred ... Strong scripting and automation skills (e.g., Python, Bash). * Expertise in CI/CD tools like ...

DevOps Engineer

Aurora, CO ยท Remote

$53.50 - $73.50/hr

Boulder, CO ยท Full-Time ยท Remote The scientists and engineers building our MRD cancer detection ... Building and maintaining automation scripts in Python and Shell/Bash to reduce manual operations ...

Now, the organization is evolving toward intelligent automation and agentic AI systems: autonomous ... Python, Java (Spring Boot), and TypeScript/React ecosystems * Experience navigating both modern ...

GCP Cloud Engineer

Denver, CO ยท Remote

$57.50 - $76.75/hr

Remote (Mountain Standard Time)****Duration: 6+ Months Contract****Position Overview The Colorado ... and establishing automation tools based on standards set by the Cloud Architect and Cloud ...

Site Reliability Engineer II

Denver, CO ยท On-site +1

$98.58K - $138.02K/yr

Develop scripting and automation skills using Python, Bash, PowerShell, or similar. * Participate ... Wellness initiatives #BI-Remote DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer.

Site Reliability Engineer II

Denver, CO ยท On-site +1

$98.58K - $138.02K/yr

Develop scripting and automation skills using Python, Bash, PowerShell, or similar. * Participate ... Wellness initiatives #BI-Remote DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer ...

Cloud Engineer

Aurora, CO ยท On-site +1

$140K - $240K/yr

Onsite Remote Work: No We are looking for a Cloud Engineer with experience in building, deploying ... Support deployment, release automation, and orchestration processes * Develop and manage ...

8-11-Test Engineer

Denver, CO ยท Remote

$50 - $65/hr

Proven ability to script automation in a programming language such as; Python or Java. * 3+ years ... The work is remote, but we required our contractors to be local. * The QA tester is responsible for ...

next page

Showing results 1-20

Remote Python Automation Engineer information

What are the key skills and qualifications needed to thrive as a Remote Python Automation Engineer, and why are they important?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is a Remote Python Automation Engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What are popular job titles related to Remote Python Automation Engineer jobs in Colorado? For Remote Python Automation Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Python Automation Engineer jobs in Colorado look for? The top searched job categories for Remote Python Automation Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Python Automation Engineer jobs? Cities in Colorado with the most Remote Python Automation Engineer job openings:
Cloud Engineer

Cloud Engineer

Software Technology Inc

Boulder, CO โ€ข On-site, Remote

$58.75 - $78.50/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Cloud Engineer

Duration: 1/31/24 + Potential to extend (Has budget through Jan 2025).

Location: Pleasanton, CA โ€“ Pleasanton and Santa Clara offices would be great since team is there. Some Boulder team members as well. Will be open for remote only if we have no onsite candidate. Onsite candidates are first preferred.

Key Responsibilities
  • Cloud Infrastructure: Design, deploy, and manage cloud infrastructure in AWS, ensuring scalability, reliability, and cost-effectiveness.
  • Security and Compliance: Implement robust security measures, including access control, encryption, and compliance with industry standards and best practices.
  • Networking: Configure and optimize network architectures for cloud environments, including VPCs, subnets, and routing.
  • Performance Testing: Develop scripts and tooling for Performance testing.
  • CI/CD Pipeline Automation: Design and automate CI/CD pipelines for seamless application deployment, testing, and monitoring.
  • Containerization: Utilize containerization technologies such as Docker and Kubernetes for application packaging and orchestration.
  • Monitoring and Logging: Implement monitoring and logging solutions to ensure system performance and troubleshoot issues proactively.
  • Collaboration: Collaborate with cross-functional teams, including developers and system administrators, to streamline deployment processes.
  • Documentation: Maintain comprehensive documentation of infrastructure configurations, processes, and procedures.
Qualifications
  • Bachelorโ€™s degree in computer science, Information Technology, or a related field. Master's degree is a plus.
  • 6+ years of experience as a Cloud DevOps Engineer with a strong focus on AWS (Preferred), Azure, Google Cloud.
  • Strong scripting and automation skills (e.g., Python, Bash).
  • Expertise in CI/CD tools like Jenkins, GitLab and experience with Jenkins DSL development
  • Hands on experience containerization technologies (e.g., Docker, Kubernetes) and deployment processes for services
  • Expertise with Performance testing using tooling like JMeter, Loadrunner, Gatling.
  • Hands-on experience in analyzing performance issues across the entire stack
  • Understanding of JVM, Database and Unix system internals
  • Expertise in security best practices and network configurations in the cloud.