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Part Time Cloud Devops Jobs in Seattle, WA (NOW HIRING)

Shield AI

Staff Engineer, XBAT DevOps (R4542)

Seattle, WA · On-site

$180K - $270K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and

King County, WA

Senior GIS Engineer

Seattle, WA · On-site

$123K - $157K/yr

Salary: $123,947.20 - $157,110.10 Annually Location : King Street Center - 201 S Jackson St, Seattle, WA Job Type: Career Service (Exec) Job Number: 2026-27874 Department: KCIT - Information

REV LLC

Data Architect

Seattle, WA · On-site

Contract Type: 1099 Independent Contractor (Individual Consultant Only) | C2C: Not Accepted Location: Remote, U.S. Based; must be willing and able to work onsite in Washington State as required

REV LLC

Data Architect

Seattle, WA · On-site

$80 - $100/hr

Contract Type: 1099 Independent Contractor (Individual Consultant Only) | C2C: Not Accepted Location: Remote, U.S. Based; must be willing and able to work onsite in Washington State as required

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Part Time Cloud Devops information

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$68

$98

How much do part time cloud devops jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for part time cloud devops in Seattle, WA is $68.89, according to ZipRecruiter salary data. Most workers in this role earn between $57.74 and $79.04 per hour, depending on experience, location, and employer.

What is a part time cloud DevOps?

Part time cloud DevOps jobs involve managing and automating cloud infrastructure, deployments, and operations for organizations, but on a reduced or flexible schedule. These roles typically include tasks such as maintaining cloud environments (like AWS, Azure, or Google Cloud), implementing CI/CD pipelines, and monitoring system performance. Part time positions may be ideal for those seeking work-life balance or supplemental income, while still working with modern DevOps practices and tools. Responsibilities and required skills are similar to full-time roles, but with fewer hours or on a project basis.

How do part time cloud DevOps professionals typically manage collaboration and communication with full-time team members?

Part-time Cloud DevOps professionals often use collaboration tools like Slack, Jira, or Microsoft Teams to stay connected with their full-time colleagues. They usually have scheduled check-ins or stand-up meetings to align on priorities, discuss progress, and address blockers. Since their hours are limited, clear communication and thorough documentation of changes or deployments are crucial to ensure seamless handoffs. Flexibility and proactive updates help maintain productivity and integration within the team's workflow.

What are the key skills and qualifications needed to thrive as a part time cloud DevOps professional, and why are they important?

To thrive as a Part Time Cloud DevOps professional, you need a solid understanding of cloud platforms (such as AWS, Azure, or Google Cloud), automation, and infrastructure-as-code principles, often supported by relevant experience or certifications. Familiarity with CI/CD tools (like Jenkins or GitHub Actions), configuration management systems (such as Ansible or Terraform), and monitoring solutions is typically required. Strong problem-solving, collaboration, and time management skills help professionals excel, especially when working independently or remotely. These competencies ensure efficient deployment, reliable system operations, and seamless integration within development teams, even on a part-time schedule.

What is the difference between Part Time Cloud Devops vs Part Time Cloud Engineer?

AspectPart Time Cloud DevopsPart Time Cloud Engineer
Required CredentialsCloud certifications (AWS, Azure, GCP), DevOps toolsCloud certifications, scripting, cloud platform knowledge
Work EnvironmentCollaborative, DevOps teams, remote or on-siteCloud infrastructure setup, maintenance, monitoring
Employer & Industry UsageTech companies, startups, IT service providersCloud service providers, enterprise IT departments
Common Search & ComparisonYesYes

Part Time Cloud Devops focuses on integrating development and operations, automating deployment pipelines, and managing cloud infrastructure. Part Time Cloud Engineer primarily handles cloud infrastructure setup, configuration, and maintenance. While both roles require cloud platform knowledge and certifications, Cloud Devops emphasizes automation and collaboration, whereas Cloud Engineer concentrates on infrastructure management. The roles often overlap but serve different core functions within cloud-based environments.

What are the most commonly searched types of Cloud Devops jobs in Seattle, WA?

The most popular types of Cloud Devops jobs in Seattle, WA are:

What are popular job titles related to Part Time Cloud Devops jobs in Seattle, WA?

For Part Time Cloud Devops jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Part Time Cloud Devops jobs in Seattle, WA look for?

The top searched job categories for Part Time Cloud Devops jobs in Seattle, WA are:

Part Time Cloud Devops jobs near you
Infographic showing various Part Time Cloud Devops job openings in Seattle, WA as of September 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $143,287 per year, or $68.9 per hour.

Staff Engineer, XBAT DevOps (R4542)

Seattle, WA • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$180K - $270K/yr

Full-time, Part-time

Re-posted 2 hours ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

 
Job Description: 

As a DevOps Engineer, you’ll own our CI/CD and automation stack — driving developer velocity, pipeline health, and large-scale test execution from single-agent runs to cluster-orchestrated mission scenarios. This is a hands-on IC role that removes bottlenecks, accelerates iteration, and ensures every engineer can test and ship with speed and rigor.  

 
 
 
What you'll do:

  • Own and operate the CI/CD system across autonomy, embedded, and ground software.   

  • Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks.   

  • Scale simulation test execution in CI — from containerized single-agent runs to orchestrated clusters.   

  • Manage infrastructure for builds and tests (Azure DevOps, Git, Artifactory, cloud build agents).   

  • Fully automate common tasks to create a self-service DevOps model allowing developers to be fully empowered.  

  • Partner with developers to resolve build/test failures quickly and set best practices for integration.   

  • Integrate CI pipelines with HIL and simulation environments for automated validation.   

  • Implement monitoring, dashboards, and alerts for CI/CD health and performance.   

  • Collaborate with the Developer Ops teams across Shield AI to introduce new technologies, best practices, and shared standards.   

Required qualifications:

  • BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years).   

  • Strong expertise in CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).   

  • Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters).   

  • Strong scripting skills (Python, Bash, PowerShell).   

  • Hands-on experience integrating automated testing into CI pipelines.   

  • Demonstrated success improving developer productivity at scale.   

  • Demonstrated track record of excellence as a primary contributor on projects - showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions in a fast-paced environment     

  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:

  • Experience building simulation or HIL-based test pipelines.   

  • CMake/C++ expertise or equivalent. 

  • Strong understanding of dependency management and proficiency with either Conan or CPM. 

  • Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus).   

  • Background in robotics, autonomy, or aerospace systems.   

#LI-SM1

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.