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Remote Infrastructure Engineer Manager Jobs in Seattle, WA

DevOps Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

... SRE, cloud, platform, or infrastructure engineering . * Hands-on experience with major cloud ... Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure ...

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Design, deploy, and manage scalable, secure, and reliable infrastructure solutions using Terraform.

Software Engineer, Platform Infrastructure

Seattle, WA · On-site +1

$196K - $233K/yr

... management platform for fast-growing, digital-native companies. Hundreds of thousands of businesses ... What you'll do As an engineer on the team, you'll be responsible for shaping and building a suite ...

... engineering team responsible for the architectural and infrastructure design standards across ... such as remote CDUs and containment systems), power distribution strategies, and low-voltage ...

This role involves leading the engineering of mission-critical, tier 0 service infrastructure, the ... Manage one or more related teams of 6-10+ software engineers, driving development of tier 0 grid ...

Showing results 21-40

Remote Infrastructure Engineer Manager information

See Seattle, WA salary details

$52.9K

$144.6K

$207.1K

How much do remote infrastructure engineer manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote infrastructure engineer manager in Seattle, WA is $144,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,500.00 per year, depending on experience, location, and employer.

DevOps Expert - Remote

Seattle, WA • Remote

$30 - $80/hr

Full-time

Posted 19 days ago


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.