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Remote Azure Support Engineer Jobs in Bothell, WA

YO AI Labs

Mental Health Expert - Remote

Seattle, WA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

YO AI Labs

Mental Health Expert - Remote

Seattle, WA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

Cooperdyne Tech

Power BI Developer1 (Remote)

Seattle, WA · Remote

Support data governance, documentation, and reporting standards * Manage workload independently and ... Work within Agile environments using tools like Azure DevOps Boards Required Qualifications * 5-7+ ...

DocuSign

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... Azure Service Bus. You will help create a consistent developer experience while optimizing the ... Employee divides their time between in-office and remote work. Access to an office location is ...

Wsgr

Principal Cloud Infrastructure Engineer

Seattle, WA · On-site +1

$147K - $198K/yr

This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ... Advanced knowledge Azure best practices as it relates to deployment, scaling, data protection, and ...

KEYENCE

Field Application Engineer '27

Kirkland, WA · On-site +1

$53K - $80K/yr

Join KEYENCE as a Field Application Engineer Training Classes Begins January or July 2027 Irvine ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

DocuSign

Software Engineer

Seattle, WA · On-site +1

$111K - $162K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience in Azure Technology stack like Azure Kubernetes, CosmosDB, Azure EventHub * Experience ...

The AES Group

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 ... Leverage Azure services such as Azure App Services, Azure Functions, API Management, and Azure ...

Archera

Forward Deployed Engineer

Seattle, WA · Remote

Archera works closely with AWS, Microsoft Azure, and Google Cloud, along with a broad partner ... This role is remote within the United States, with light travel. Key Responsibilities * Act as the ...

DocuSign

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... that support CLM-IAM convergence use cases (Navigator, Agreement Manager, Party Management ... You are comfortable working in a modern cloud environment (Azure and/or AWS), with a focus on ...

widenet

Data Platform Engineer - Databricks

Seattle, WA · On-site +1

$90 - $100/hr

... remote. Role Summary The Data Platform Engineer will support the Enterprise Data team in ... Optimize Azure and Databricks access, including performance tuning and caching strategies, to ...

DocuSign

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... services that support Docusign's global agreement workflows across Azure and Google Cloud ... Employee divides their time between in-office and remote work. Access to an office location is ...

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All JobsAzure Support Engineer JobsRemote Azure Support Engineer JobsRemote Azure Support Engineer Jobs in Bothell, WA

Remote Azure Support Engineer information

See Bothell, WA salary details

$18

$44

$76

How much do remote azure support engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote azure support engineer in Bothell, WA is $44.57, according to ZipRecruiter salary data. Most workers in this role earn between $33.08 and $52.12 per hour, depending on experience, location, and employer.

What is a Remote Azure Support Engineer?

A Remote Azure Support Engineer is an IT professional who provides technical assistance and troubleshooting for Microsoft Azure cloud services, working from a remote location. They help customers resolve issues related to Azure infrastructure, networking, security, and application deployment. These engineers typically communicate with clients via email, chat, or phone to diagnose and solve problems, implement solutions, and ensure optimal use of Azure services. In addition, they may provide guidance on best practices, monitor system performance, and escalate complex issues as needed.

What are the key skills and qualifications needed to thrive as a Remote Azure Support Engineer?

To thrive as a Remote Azure Support Engineer, you need a strong understanding of Microsoft Azure services, cloud computing concepts, and troubleshooting methodologies, typically backed by a degree in computer science or a related field. Familiarity with tools like Azure Portal, PowerShell, Azure CLI, and certifications such as Microsoft Certified: Azure Administrator Associate are highly valuable. Excellent problem-solving abilities, communication skills, and a customer-focused mindset help you resolve issues efficiently and provide high-quality support remotely. These skills and qualifications are vital to ensuring system reliability, resolving technical challenges quickly, and maintaining customer satisfaction in a dynamic cloud environment.

What are some common challenges faced by Remote Azure Support Engineers and how can they be managed effectively?

Remote Azure Support Engineers often encounter challenges such as troubleshooting complex cloud environments without physical access to client infrastructure, managing multiple high-priority tickets simultaneously, and keeping up with frequent Azure updates. Effective communication skills and a structured approach to problem-solving are essential, as much of the support work involves collaborating with customers and internal teams through virtual channels. Staying current with Azure documentation and actively participating in knowledge-sharing within the team can help engineers resolve issues efficiently and stay ahead of technological changes.

What is the difference between Remote Azure Support Engineer vs Remote Cloud Support Engineer?

AspectRemote Azure Support EngineerRemote Cloud Support Engineer
CertificationsAzure Certifications (e.g., AZ-104, AZ-303)Cloud certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentRemote, supporting Azure cloud servicesRemote, supporting multiple cloud platforms
Industry UsagePrimarily in organizations using Microsoft AzureIn organizations using various cloud providers
Job FocusAzure-specific support and troubleshootingSupport across multiple cloud environments

The Remote Azure Support Engineer specializes in supporting Microsoft Azure services, requiring Azure-specific certifications and knowledge. In contrast, the Remote Cloud Support Engineer offers support across various cloud platforms, including Azure, AWS, and Google Cloud. Both roles are remote and involve troubleshooting cloud issues, but the Azure Support Engineer focuses solely on Azure environments, making it ideal for organizations heavily invested in Microsoft cloud solutions.

What job categories do people searching Remote Azure Support Engineer jobs in Bothell, WA look for?

The top searched job categories for Remote Azure Support Engineer jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Remote Azure Support Engineer jobs?

Cities near Bothell, WA with the most Remote Azure Support Engineer job openings:

Remote Azure Support Engineer jobs near you
Infographic showing various Remote Azure Support Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $92,707 per year, or $44.6 per hour.

Mental Health Expert - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 18 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.