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Sre Engineering Coach Jobs (NOW HIRING)

Apex Systems

Site Reliability Engineer (SRE)

Charlotte, NC · On-site

$55.75 - $74/hr

Job#: 3049740 Site Reliability Engineer (SRE) Location: Charlotte, North Carolina (Onsite ... Career Coach. You can access a full list of our benefits, programs, support teams and resources ...

ATLANTICUS

Site Reliability Engineer (SRE)

Atlanta, GA

$54.75 - $72.75/hr

Leverage AI-powered engineering tools and agentic AI capabilities to improve monitoring, incident ... SRE, DevOps, Production Support, or Site Reliability Engineering role. * Strong experience ...

Spatial Front, Inc

SRE Engineer

Arlington, VA · On-site

$65.75 - $87.25/hr

Responsibilities : • Define, implement, and maintain site reliability engineering practices for mission-critical applications and shared services, with emphasis on uptime, resiliency ...

Forward

Site Reliability Engineer

Santa Clara, CA

$230K - $250K/yr

You will work closely with engineering, infrastructure, and product to ensure our platform meets ... Define and drive SRE practices from the ground up - SLOs, SLIs, error budgets, and the frameworks ...

IT America Inc

Site Reliability Engineer (SRE)

Plano, TX · On-site

$54.50 - $72.50/hr

Site Reliability Engineer (SRE) Location: Richmond, VA or Plano, TX Work Model: Hybrid - 3 days onsite per week Duration: Long term contract Job Summary: We are seeking an experienced Site ...

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Sre Engineering Coach information

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How much do sre engineering coach jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for sre engineering coach in the United States is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $72.84 per hour, depending on experience, location, and employer.

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For Sre Engineering Coach jobs, the most frequently searched job titles are:

Site Reliability Engineering(SRE) - Remote

Atlanta, GA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 14 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.