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DevOps​/Infra​/Platform Engineer Talent Network

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Workbolt
Part Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 96000 - 207000 USD Yearly USD 96000.00 207000.00 YEAR
Job Description & How to Apply Below
Position: DevOps / Infra. / Platform Engineer Talent Network
About the role

About Workbolt AI’s Talent Network Join Workbolt AI’s Dev Ops / Infrastructure / Platform Engineer Talent Network to be considered for flexible contract opportunities with AI labs and technology companies seeking experienced devops, infrastructure, and platform engineering professionals. This is an open application for future projects—not a guarantee of immediate work. Opportunities are matched on a rolling basis according to your experience, technical expertise, availability, and project requirements.

What You May Work On Members of the network may support projects that train, test, and evaluate advanced AI systems using real-world engineering expertise. Assignments may include creating realistic technical tasks and deliverables; reviewing AI-generated code, architectures, debugging approaches, and documentation; developing scoring criteria, test cases, or reference solutions; and providing detailed feedback on correctness, maintainability, security, performance, and production relevance.

Focus areas may include CI/CD pipelines, infrastructure as code, cloud platforms such as AWS, GCP, or Azure, Linux, networking, Docker, Kubernetes, observability, security, reliability, and incident response. Project Details Projects vary in scope, duration, and weekly commitment. Many engagements are structured for flexible remote participation and may require approximately 15–30 hours per week while active. Specific schedules, deliverables, technology stacks, timelines, and compensation terms will be shared before you accept an assignment.

Projects may be extended, shortened, or concluded as business needs and performance requirements change.

How It Works
  • Apply once:
    Submit your résumé, availability, and work-authorization information.
  • Get reviewed:
    Workbolt AI reviews your professional background and verifies that your expertise aligns with the network.
  • Get matched:
    When a suitable engineering project becomes available, we contact qualified experts whose experience and availability fit the engagement.
  • Review the opportunity:
    You receive the project scope, stack, schedule, deliverables, and compensation details before deciding whether to participate.
  • Start contributing:
    If selected and you accept, you complete project onboarding and begin working remotely with the Workbolt AI team.
Contract Information

Talent Network members participate as independent contractors on project-based engagements. Joining the network does not create an employment relationship or guarantee a minimum amount of work. Experts must not use or disclose confidential, proprietary, material non-public, or restricted information, datasets, models, or source code belonging to any current or former employer, client, or institution. Workbolt AI considers qualified applicants without regard to legally protected characteristics and supports reasonable accommodations where applicable.

Responsibilities
  • Design realistic Dev Ops and platform engineering tasks involving cloud architecture, infrastructure as code, CI/CD, container orchestration, networking, observability, reliability, security, and incident response.
  • Evaluate AI-generated infrastructure configurations, automation, runbooks, and technical explanations for correctness, security, resilience, scalability, operability, cost awareness, and production readiness.
  • Develop evaluation criteria, test scenarios, scoring rubrics, reference configurations, and exemplar solutions that define professional-quality infrastructure and platform engineering work.
  • Provide precise technical feedback identifying unsafe permissions, deployment risks, reliability gaps, networking errors, weak observability, inefficient resource design, incomplete rollback plans, or fragile automation.
  • Work…
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