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

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Design and maintain scalable infrastructure environments for AI/ML and GenAI platforms. * Deploy ...

Opala

Senior Platform Security Engineer

Seattle, WA · Remote

In this remote position, we're seeking an experienced Senior Platform Security Engineer to join our team. Here, you will play a critical role in securing our cloud infrastructure and embedding strong ...

DocuSign

Sr. Software Engineer

Seattle, WA · On-site +1

$158K - $232K/yr

The Agreement Platform team builds schema-driven SaaS products to scale to a wide range of ... Employee divides their time between in-office and remote work. Access to an office location is ...

Phaidra

Senior Software Engineer (Data Platform)

Seattle, WA · Remote

$139K - $183K/yr

... Engineer to anchor the technical direction of our growing Data Platform team. You'll drive ... Ability to collaborate and communicate effectively in an all-remote setting. * Approach your work ...

WEX

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 ...

eNett

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 ...

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All JobsRemote Platform Engineer JobsRemote Platform Engineer Jobs in Seattle, WA

Remote Platform Engineer information

See Seattle, WA salary details

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How much do remote platform engineer jobs pay per hour?

As of Jun 26, 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.

How can I make 2000 a week working from home?

A Remote Platform Engineer can earn $2,000 a week by working on high-demand projects, leveraging specialized skills in cloud platforms, scripting, and automation. Increasing income may involve taking on multiple contracts, gaining advanced certifications, or working for companies that pay competitive remote salaries. Building a strong portfolio and networking can also help secure higher-paying opportunities.

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

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.

What job makes $10,000 a month without a degree?

A remote platform engineer can potentially earn $10,000 a month through freelance projects, contract work, or high-demand skills like cloud computing, DevOps, or cybersecurity. Success depends on experience, skill level, and the ability to secure well-paying clients or employers without formal degrees.

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.

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 engineer makes 500,000 a year?

A senior or specialized platform engineer with extensive experience, advanced skills in cloud infrastructure, and expertise in tools like Kubernetes or AWS can potentially earn $500,000 annually, especially in high-cost living areas or large tech companies. Such roles often require certifications, leadership responsibilities, and a strong track record of managing complex systems.

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.

How can I make $100,000 a year working from home?

A Remote Platform Engineer can earn $100,000 or more annually by gaining expertise in cloud services, scripting, and automation tools, often requiring relevant certifications like AWS or Azure. Building a strong portfolio, gaining experience in scalable systems, and working for companies that offer remote senior roles can help achieve this income level.
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 are popular job titles related to Remote Platform Engineer jobs in Seattle, WA? For Remote Platform Engineer jobs in Seattle, WA, the most frequently searched job titles 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:
Remote Platform Engineer jobs near you

Senior DevOps Engineer

The AES Group

Seattle, WA • Remote

$133K - $170K/yr

Contractor

Posted 27 days ago

Job description

Job Title: Senior DevOps Engineer
Location: Remote - USA

The AES Group is hiring an experienced Senior DevOps Engineer to join our growing technology team and drive enterprise-scale cloud infrastructure modernization initiatives. This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable, secure, and reliable infrastructure supporting advanced AI/ML platforms.

Why Join The AES Group?

  • Work on cutting-edge cloud transformation and AI/ML infrastructure projects
  • Opportunity to contribute to GenAI and Azure Cognitive Services environments
  • Collaborate with high-performing engineering teams on enterprise-scale initiatives
  • Hybrid work flexibility based in Seattle, WA
  • Long-term project engagement with strong career growth potential

Key Responsibilities:

  • Design, deploy, and manage scalable, secure, and reliable infrastructure solutions using Terraform.
  • Lead migration efforts from ARM templates and PowerShell-based provisioning to Terraform-based Infrastructure as Code (IaC).
  • Develop and maintain reusable IaC modules to enable version-controlled, repeatable deployments.
  • Implement, manage, and optimize Kubernetes clusters supporting containerized microservices environments.
  • Partner with development teams to deploy, scale, and troubleshoot applications in Kubernetes ecosystems.
  • Automate provisioning, deployment, and operational workflows using Python scripting.
  • Build and maintain CI/CD pipelines to streamline software delivery and release cycles.
  • Integrate infrastructure provisioning seamlessly into CI/CD workflows.
  • Design and maintain scalable infrastructure environments for AI/ML and GenAI platforms.
  • Deploy and manage Docker containerized applications orchestrated through Kubernetes.
  • Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML workload orchestration.
  • Enable secure and efficient integration of AI/ML models into enterprise production platforms.
  • Establish monitoring, logging, and alerting systems to maintain infrastructure health and performance.
  • Implement security best practices to ensure compliance, governance, and data privacy standards.

Required Skills & Qualifications:

  • 10+ years of experience in DevOps, Infrastructure Engineering, or Cloud Platform Engineering.
  • Strong hands-on expertise with Terraform, including migration from ARM/PowerShell to Terraform.
  • Deep experience managing Kubernetes clusters and deploying containerized microservices.
  • Strong proficiency in Python scripting for automation and workflow optimization.
  • Solid experience with Docker and container orchestration technologies.
  • Hands-on experience designing and maintaining CI/CD pipelines.
  • Strong understanding of Infrastructure as Code (IaC) principles and best practices.
  • Proven experience with Microsoft Azure cloud platform services.
  • Required hands-on experience with Azure Databricks for cloud data processing and AI/ML platform integration.
  • Experience designing and supporting scalable infrastructure for AI/ML environments.
  • Knowledge of Azure Cognitive Services and GenAI project deployments is highly preferred.
  • Strong understanding of cloud security, compliance, and monitoring frameworks.
  • Excellent communication and collaboration skills in cross-functional engineering teams.

Preferred Qualifications:

  • Experience working as a platform engineer in AI/ML-driven environments.
  • Exposure to deployment automation for Azure Cognitive Services and GenAI workloads.
  • Prior involvement in enterprise cloud modernization initiatives.

Ready to make an impact? Apply now and join us on our journey!