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Remote Infrastructure Engineer Manager Jobs in Passaic, NJ

Sr. Platform Engineer (Remote - US)

Manhattan, NY · On-site +1

$115K - $157K/yr

Not just to close tickets or gatekeep infrastructure; but to build the deployment systems ... This position reports to the Platform Engineering Manager. This position is full-time and fully ...

DevOps Expert - Remote

New York, NY · Remote

$57.75 - $79/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 ...

IaC Engineer

New York, NY · Remote

$146K/yr

... infrastructure supports threat modeling, vulnerability management, and incident response ... Ability to collaborate effectively with engineering, platform, and DevSecOps teams in a fast-paced ...

By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable ... Multi-cloud capacity management * Inference on B200 GPUs * Multi-node inference * Fractional H100 ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure , Kubernetes operations ...

Showing results 41-60

Remote Infrastructure Engineer Manager information

See Passaic, NJ salary details

$48.1K

$131.6K

$188.4K

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

As of Sep 1, 2026, the average yearly pay for remote infrastructure engineer manager in Passaic, NJ is $131,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $146,000.00 per year, depending on experience, location, and employer.

What cities near Passaic, NJ are hiring for Remote Infrastructure Engineer Manager jobs?

Cities near Passaic, NJ with the most Remote Infrastructure Engineer Manager job openings:

Site Reliability Engineering(SRE) - Remote

YO AI Labs

New York, NY • Remote

$30 - $80/hr

Full-time

Posted 8 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.