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Remote Director Cloud Infrastructure Engineering Jobs in Boston, MA

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

... remote access, enterprise applications, and laboratory technology environments. * Partner with ... Contribute to infrastructure architecture, engineering standards, modernization strategies, roadmap ...

DevOps Expert - Remote

Boston, MA ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... , cloud, infrastructure, and platform engineering . * Evaluate AI-generated commands ...

DevOps Expert - Remote

Boston, MA ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... , cloud, infrastructure, and platform engineering . * Evaluate AI-generated commands ...

Principal Cloud Infrastructure Engineer

Boston, MA ยท On-site +1

$147K - $198K/yr

The Principal Cloud Infrastructure Engineer, under the direction of the Senior manager of ... This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ...

AWS Cloud Engineer

Boston, MA ยท Remote

$57 - $76.25/hr

Setup and configuration of AWS Cloud infrastructure for new platform builds * Ensure system ... Provide engineering level troubleshooting and services restoration for operational issues as they ...

DevOps Engineer - Remote

Boston, MA ยท Remote

$50 - $150/hr

You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ... engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks ...

DevOps Engineer - Remote

Boston, MA ยท Remote

$50 - $150/hr

You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ... engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks ...

... Engineering team. You'll work across DevOps, cloud infrastructure, security, and compliance, to ... THIS IS NOT A FULLY REMOTE ROLE -- YOU WILL BE EXPECTED ONSITE MULTIPLE DAYS PER WEEK. What You'll ...

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Remote Director Cloud Infrastructure Engineering information

See Boston, MA salary details

$76K

$167K

$247.2K

How much do remote director cloud infrastructure engineering jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote director cloud infrastructure engineering in Boston, MA is $166,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,500.00 and $203,700.00 per year, depending on experience, location, and employer.

What is a remote director cloud infrastructure engineering?

A Remote Director of Cloud Infrastructure Engineering is a senior-level professional responsible for leading teams that design, implement, and manage cloud infrastructure solutions for an organization, all while working remotely. This role oversees cloud architecture, ensures system reliability, security, and scalability, and often collaborates with other IT and business leaders to align cloud strategies with company goals. The director is also responsible for team leadership, budgeting, and staying updated with the latest cloud technologies and best practices.

What are the key skills and qualifications needed to thrive as a remote director cloud infrastructure engineering?

To excel as a Remote Director Cloud Infrastructure Engineering, you need deep expertise in cloud architecture, infrastructure management, and leadership, typically supported by a degree in computer science or engineering and significant experience in cloud environments. Familiarity with platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Solutions Architect or similar, are commonly required. Exceptional communication, strategic thinking, and team leadership skills distinguish top performers in this role. These abilities are critical for ensuring secure, scalable, and efficient cloud solutions while effectively leading distributed engineering teams.

How does a remote director cloud infrastructure engineering typically collaborate with cross-functional teams to implement large-scale cloud solutions?

A Remote Director of Cloud Infrastructure Engineering regularly works with cross-functional teams, including software developers, security engineers, product managers, and executive leadership. They coordinate project requirements, align cloud strategies with business goals, and ensure seamless integration of cloud services. Effective virtual communication, clear documentation, and structured project management practices are crucial to fostering collaboration and driving successful outcomes in a remote environment. This role often involves leading technical reviews, setting architectural standards, and resolving complex technical challenges across distributed teams.

What are popular job titles related to Remote Director Cloud Infrastructure Engineering jobs in Boston, MA?

For Remote Director Cloud Infrastructure Engineering jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Director Cloud Infrastructure Engineering jobs in Boston, MA look for?

The top searched job categories for Remote Director Cloud Infrastructure Engineering jobs in Boston, MA are:

Developer & Infrastructure Expert - Remote

YO AI Labs

Boston, MA โ€ข Remote

$30 - $80/hr

Full-time

Posted 6 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.