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Remote Ai Infrastructure Engineer Jobs (NOW HIRING)

Vultr

Senior Manager, AI Infrastructure Operations

$111K - $151K/yr

... first year remote office setup + $400 each following year for new equipment * Internet ... Translate engineering roadmaps and technical requirements from the Director of AI Infrastructure ...

Vultr

Staff AI/ML Infrastructure Engineer

$145K - $160K/yr

... 500 stipend for remote office setup in first year + $400 each following year * Internet ... AI/ML Infrastructure Engineer to drive the design, performance, and reliability of our AI ...

Anytime AI

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... Position Overview As an Infrastructure Engineer, you will play a pivotal role in building and ...

Lightning AI

Infrastructure Engineer (Storage)

$110K - $144K/yr

Lightning AI is the company behind PyTorch Lightning, focused on building an end-to-end platform for AI systems. They are seeking a Storage Infrastructure Engineer to build and operate storage ...

The AES Group

Infrastructure Engineer

Seattle, WA · Remote

$110K - $144K/yr

Role - Infrastructure Engineer Location - Remote, USA Let's create our future together at The AES ... AI, and other emerging technologies. Why Join The AES Group, Inc. * Competitive compensation ...

Scrunch AI

Senior Infrastructure Engineer

$140K - $200K/yr

As AI search and conversational agents replace traditional web search and browsing, Scrunch helps ... Scrunch is a remote organization, but in-office or hybrid work is possible for candidates based in ...

Hercules

Infrastructure Engineer

San Francisco, CA · On-site +1

$100K - $250K/yr

AI Agent , the AI harness that enables anyone to build powerful full-stack applications * App ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

Vibrant Planet

Infrastructure Engineer

$110K - $144K/yr

Our cloud-based, AI-driven platform modernizes land management planning, community risk assessment ... The role is fully remote and requires the ability to work effectively across a distributed team.

Apex Informatics

Data Platform Infrastructure Engineer

$110K - $144K/yr

Data Platform Infrastructure Engineer Location: 100% remote CA, Remote 1 year contract Must have ... AI We seek a Data Platform Infrastructure Engineer skilled in AWS and Kubernetes to build and ...

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

As of Jul 21, 2026, the average yearly pay for remote ai infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Infrastructure Engineer, and why are they important?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What is a Remote AI Infrastructure Engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are some common challenges faced by Remote AI Infrastructure Engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.
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What cities are hiring for Remote Ai Infrastructure Engineer jobs? Cities with the most Remote Ai Infrastructure Engineer job openings:
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Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.
Senior Infrastructure Engineer (Core Infra, US)

Senior Infrastructure Engineer (Core Infra, US)

Workato

Palo Alto, CA • On-site, Remote

$180K - $240K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Job description

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an "enterprise startup to bet your career on"

  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato's automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you'll be part of the team responsible for the architecture, scalability, and reliability of Workato's distributed cloud platform. You'll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities
  • Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
  • Collaborate with AI engineering and iPaaS engineering teams to plan and deliver complex platform initiatives.
  • Patch and optimize open-source components for performance and security.
  • Build iPaaS and AI infrastructure at scale and cross-cloud.
  • Manage and provision AWS infrastructure using Terraform and Kubernetes.
  • Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
  • Improve and maintain CI/CD pipelines for scalable and secure component delivery.
  • Tune Linux systems and open-source software for high performance and hardened security.
  • Build internal tools to streamline engineering workflows and operational automation.
  • Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.
Requirements
  • 7+ years of experience in infrastructure or systems engineering roles.
  • Proven expertise in distributed systems and cloud-native architectures.
  • Strong understanding of Linux internals, including networking and system-level performance tuning.
  • Experience operating infrastructure on AWS at scale.
  • Proficiency with Terraform, Kubernetes.
  • Solid understanding of network security and cloud security best practices.
  • Hands-on experience optimizing CI/CD workflows and automating deployments.
  • Excellent analytical, troubleshooting, and communication skills.
Nice to Have
  • Experience with Golang for tooling or internal services.
  • Experience building cross-cloud AI infrastructure.
  • Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
  • Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
  • Understanding of Vault or other secrets management systems.
  • Contributions to or maintenance of open-source infrastructure projects.
Tech Stack
  • AWS • Terraform • Kubernetes • LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault
Why Join Us
  • Build and operate a world-class cloud platform used by leading global enterprises.
  • Collaborate with experienced engineers in the US and across international teams.
  • Work in a highly technical environment focused on scalability, performance, and reliability.
  • Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.