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Remote Cloud Engineer Jobs in Renton, WA (NOW HIRING)

Archera\'s unique cloud rate products enable teams to maximize savings, hedge against usage changes ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Front End Developer

Seattle, WA · Remote

$106K - $123K/yr

Remote - USA Experience Level: Senior-Level Let's create our future together at The AES Group ... Stay up to date with Angular best practices, Azure cloud advancements, and emerging front-end ...

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

Contribute to storage abstractions and APIs that decouple product teams from specific cloud ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

Contribute to storage abstractions and APIs that decouple product teams from specific cloud ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

Contribute to storage abstractions and APIs that decouple product teams from specific cloud ... Employee divides their time between in-office and remote work. Access to an office location is ...

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 technology team and drive enterprise-scale cloud infrastructure modernization initiatives. This is an ...

Lead DevOps Engineer

Seattle, WA · Remote

$54 - $74/hr

They are now modernizing their cloud infrastructure across AWS and Azure to support continued ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

The ideal candidate will have a strong cloud computing and cybersecurity background, with a proven ... This is a remote position, however we are seeking candidates based out of or near the Seattle, WA ...

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Remote Cloud Engineer information

See Renton, WA salary details

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How much do remote cloud engineer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote cloud engineer in Renton, WA is $70.74, according to ZipRecruiter salary data. Most workers in this role earn between $60.29 and $80.58 per hour, depending on experience, location, and employer.

What Does a Remote Cloud Engineer Do?

As a remote cloud engineer, you work from home to design and develop software that runs in the cloud and maintain cloud systems and hardware. If you specialize in software development, then you typically write and test software. If your focus is on infrastructure, then your duties revolve around designing and deploying hardware and storage systems, implementing backup procedures, and ensuring the security of computer resources. In an information management role, your responsibilities include managing high-volume data migrations or supporting clients by architecting solutions for complex business needs.

What is a Remote Cloud Engineer?

A Remote Cloud Engineer is an IT professional who designs, implements, and manages cloud-based infrastructure and services for organizations, all while working remotely. Their responsibilities often include configuring cloud environments, ensuring security and compliance, automating deployments, and troubleshooting technical issues. Remote Cloud Engineers work with platforms like AWS, Azure, or Google Cloud, and collaborate with teams using virtual communication tools. This role allows professionals to contribute to cloud projects without needing to be physically present at the company's office, making it ideal for those seeking flexible work arrangements.

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

To thrive as a Remote Cloud Engineer, you need a strong background in computer science, cloud architecture, and experience with platforms like AWS, Azure, or Google Cloud, often supported by relevant degrees or certifications. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CI/CD pipelines, and cloud security best practices is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills ensure secure, scalable cloud solutions and seamless teamwork, even when working remotely.

What is the difference between Remote Cloud Engineer vs Cloud Developer?

AspectRemote Cloud EngineerCloud Developer
Required CredentialsCloud certifications (AWS, Azure, GCP), Linux, networkingProgramming skills, cloud platform knowledge, certifications optional
Work EnvironmentCloud infrastructure, deployment, troubleshootingApplication development, coding, software design
Employer & Industry UsageIT companies, cloud service providers, tech firmsSoftware companies, startups, SaaS providers
Common Search & Comparison IntentUnderstanding roles, skills, job requirementsDevelopment focus, coding responsibilities

Remote Cloud Engineers focus on managing and maintaining cloud infrastructure, while Cloud Developers primarily develop applications on cloud platforms. Both roles often require cloud certifications and work in tech-driven environments, but their core responsibilities differ—one handles infrastructure, the other software development.

How do Remote Cloud Engineers typically collaborate with team members across different time zones?

Remote Cloud Engineers often work with globally distributed teams, which means effective communication and coordination are essential. Collaboration is usually managed through tools like Slack, Microsoft Teams, or Jira, while regular video meetings help keep everyone aligned. Engineers need to be proactive in documenting their work and updates to ensure transparency and continuity, especially when team members may not be online simultaneously. Flexibility with schedules and strong written communication skills are key to overcoming time zone challenges and maintaining team productivity.
What are the most commonly searched types of Cloud Engineer jobs in Renton, WA? The most popular types of Cloud Engineer jobs in Renton, WA are:
What are popular job titles related to Remote Cloud Engineer jobs in Renton, WA? For Remote Cloud Engineer jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Engineer jobs in Renton, WA look for? The top searched job categories for Remote Cloud Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Cloud Engineer jobs? Cities near Renton, WA with the most Remote Cloud Engineer job openings:
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

Seattle, WA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.

This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.

The candidate must reside within the continental US.

Responsibilities:

  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval-augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:

  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time

Employment Type: FULL_TIME