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Remote Azure Engineer Jobs in Magnolia, TX (NOW HIRING)

YO AI Labs

Mental Health Expert - Remote

Houston, TX · 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

Backend Java Developer - Remote

Houston, TX · Remote

$60 - $110/hr

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

BridgePoint Works

Software Engineer

Houston, TX · Remote

$60 - $75/hr

Software Engineer (Remote USA) | $60-$75 per Hour Do You Want to Build Software That Shapes the ... Experience with cloud platforms (AWS, Azure, or Google Cloud). * Knowledge of databases, APIs, and ...

CYNET SYSTEMS

Nexthink Engineer

Spring, TX · Remote

$105 - $110/hr

Advanced Remote Action development including PowerShell, script signing, and automation chaining ... Basic cloud concepts, preferably Azure. * Strong verbal and written communication skills. * Ability ...

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

... remote) U.S. residents only; work must be performed within the United States. Experience ... Azure acceptable) * Proven ability to design and build scalable, multi-tenant, high-performance ...

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

... remote) U.S. residents only; work must be performed within the United States. Experience ... Azure acceptable) * Proven ability to design and build scalable, multi-tenant, high-performance ...

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All JobsAzure Engineer JobsRemote Azure Engineer JobsRemote Azure Engineer Jobs in Magnolia, TX

Remote Azure Engineer information

See Magnolia, TX salary details

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How much do remote azure engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote azure engineer in Magnolia, TX is $45.90, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $53.27 per hour, depending on experience, location, and employer.

What is a remote Azure engineer?

A Remote Azure Engineer is an IT professional who specializes in designing, implementing, and managing cloud solutions using Microsoft Azure while working remotely. They collaborate with teams to build scalable cloud infrastructure, optimize performance, and ensure security. Responsibilities often include deploying virtual machines, configuring networking, automating workflows, and monitoring cloud environments. Strong expertise in Azure services, infrastructure as code, and security best practices is essential for this role.

What does a remote Azure engineer do?

As a Remote Azure Engineer, your daily tasks often include provisioning and managing cloud infrastructure, monitoring system performance, implementing security and compliance measures, and supporting application deployments. You may collaborate with development teams to optimize cloud solutions, troubleshoot incidents, and automate routine tasks using scripts and tools. Communication with cross-functional teams is key, as you'll help translate business needs into technical solutions and provide Azure expertise. Most remote roles also require proactive documentation and participation in virtual meetings to ensure alignment and effective project delivery.

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

To thrive as a Remote Azure Engineer, you need strong expertise in cloud computing, Azure infrastructure, scripting (such as PowerShell or Azure CLI), and a background in IT or computer science. Familiarity with Azure DevOps, ARM templates, and certifications like Microsoft Certified: Azure Solutions Architect Expert are highly valued. Excellent problem-solving, communication, and self-management skills distinguish top performers, especially when working remotely. These qualifications enable effective deployment, management, and troubleshooting of Azure environments while collaborating with distributed teams.

What cities near Magnolia, TX are hiring for Remote Azure Engineer jobs?

Cities near Magnolia, TX with the most Remote Azure Engineer job openings:

Remote Azure Engineer jobs near you
Infographic showing various Remote Azure Engineer job openings in Magnolia, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $95,478 per year, or $45.9 per hour.

Mental Health Expert - Remote

Houston, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 16 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.