Live opening · Posted 1 day ago

Site Reliability Engineering(SRE) - Remote

ExecutivePlacements.com · Seattle, WA (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyExecutivePlacements.com
LocationSeattle, WA (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Job Description
Job Description
Developer & Infrastructure Expert
Role Type: Contractor
Location: Remote
Job Overview
We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.
No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.
Key Responsibilities
Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
Identify technical errors, security or reliability concerns, and workflow gaps.
Document findings and provide clear, actionable feedback.
Recommend improvements based on real-world engineering practices and industry standards.
Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
Azure DevOps
Cloud Infrastructure
Site Reliability Engineering (SRE)
Platform Engineering
AWS / Azure / GCP
Kubernetes / Docker
Terraform
CI/CD
GitHub / GitLab / JIRA
Observability
ChatGPT Work
Claude Code
Claude Cowork
AI Agents
Workplace Connectors
Preferred Qualifications
Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
Strong ability to evaluate technical processes and provide actionable feedback.
Excellent written and verbal communication skills.
Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.

Work arrangement
Yes

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