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Remote Platform Engineer Jobs in Seattle, WA (NOW HIRING)

... Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Cloud Platforms * Infrastructure as Code Required Qualifications * 3+ years of professional ...

Infrastructure Engineering Team Lead

Seattle, WA · On-site +1

$122K - $160K/yr

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... Lead Platform Engineering practices including CI/CD pipelines, IaC, automation, observability, and ...

Senior Backend Engineer - AI Platform

Seattle, WA · On-site +1

$139K - $183K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Engineer in the North America Mobility organization. This role will sit in the Platform team that ...

Senior Backend Engineer - AI Platform

Seattle, WA · On-site +1

$139K - $183K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Engineer in the North America Mobility organization. This role will sit in the Platform team that ...

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Lead AI Engineer - AWS Platform

Seattle, WA · On-site +1

$130K - $190K/yr

... platform. This is not a pure research or modeling role. It is an engineering role focused on ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Senior AI Engineer

Redmond, WA · On-site +1

$117K - $160K/yr

... platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI ... Seattle / Palo Alto / Remote Centific'sPhysical AI team is building next-generation AI systems at ...

Showing results 21-40

Remote Platform Engineer information

See Seattle, WA salary details

$37

$72

$108

How much do remote platform engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote platform engineer in Seattle, WA is $72.78, according to ZipRecruiter salary data. Most workers in this role earn between $57.45 and $83.99 per hour, depending on experience, location, and employer.

What is a remote platform engineer?

A Remote Platform Engineer is a technology professional who designs, builds, and maintains the foundational systems (platforms) that support software applications, all while working from a remote location. Their responsibilities often include developing cloud infrastructure, automating deployment processes, and ensuring system reliability and scalability. They collaborate with other engineers and teams via digital tools, leveraging their expertise in areas like DevOps, cloud computing, and system architecture. This role requires strong technical skills, problem-solving abilities, and effective communication for remote teamwork.

What are the key skills and qualifications needed to thrive as a remote platform engineer?

To thrive as a Remote Platform Engineer, you need strong expertise in software development, cloud infrastructure, automation, and a relevant degree or equivalent experience. Familiarity with tools such as AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code platforms like Terraform is typically required. Excellent problem-solving, self-motivation, and collaboration skills set standout candidates apart, especially in distributed teams. These skills ensure the reliability, scalability, and efficiency of platforms while enabling smooth teamwork in a remote work environment.

How does a remote platform engineer typically collaborate with cross-functional teams?

As a Remote Platform Engineer, you’ll frequently work with developers, DevOps, security, and product teams to ensure the platform’s stability, scalability, and security. Collaboration is often managed through daily stand-ups, code reviews, and project management tools like Jira or Trello. Clear communication and documentation are crucial, as most interactions happen via video calls, chat, and version control platforms. Successful remote platform engineers proactively seek feedback, clarify requirements, and keep stakeholders updated on progress.

What is the difference between Remote Platform Engineer vs Remote DevOps Engineer?

AspectRemote Platform EngineerRemote DevOps Engineer
CredentialsBachelor's in CS or related, certifications like AWS, AzureBachelor's in CS or related, certifications like AWS, Azure, Docker
Work EnvironmentDeveloping and maintaining platform infrastructure, cloud servicesAutomating deployment, CI/CD pipelines, infrastructure management
Industry UsageTech, SaaS, cloud providersTech, software development, cloud services

Both roles often require similar technical skills and certifications, focusing on cloud and infrastructure. The Remote Platform Engineer primarily builds and maintains platform infrastructure, while the Remote DevOps Engineer emphasizes automation, deployment pipelines, and continuous integration. They often collaborate but serve distinct functions within tech organizations.

What are the most commonly searched types of Platform Engineer jobs in Seattle, WA?

The most popular types of Platform Engineer jobs in Seattle, WA are:

What job categories do people searching Remote Platform Engineer jobs in Seattle, WA look for?

The top searched job categories for Remote Platform Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Platform Engineer jobs?

Cities near Seattle, WA with the most Remote Platform Engineer job openings:

Infographic showing various Remote Platform Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 56% Full Time, 40% Part Time, and 4% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $151,387 per year, or $72.8 per hour.

DevOps Engineer - Remote

YO AI Labs

Seattle, WA • Remote

$50 - $150/hr

Full-time

Posted 10 days ago


Job description

DevOps Engineer

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most.

Key Responsibilities
  • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
  • Create working reference solutions with clear setup and validation steps.
  • Review AI-generated solutions, identify failures, and provide precise technical corrections.
  • Maintain high standards for correctness, reliability, and reproducibility.
  • Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
  • Kubernetes
  • Terraform
  • CI/CD
  • Python
  • Linux
  • Docker
  • Git
  • Cloud Platforms
  • Infrastructure as Code
Required Qualifications
  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding skills in Python, Go, Bash, or TypeScript.
  • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Practical experience with Docker, Kubernetes, and at least one major cloud platform.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced Linux and Git skills.
  • Strong written and spoken English.
  • Availability of at least 20 hours per week.
Preferred Qualifications
  • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Background in security, secrets management, or platform reliability.
  • Open-source contributions or technical writing experience.
  • Previous experience with AI training data or model evaluation.