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Azure Infrastructure Engineer Remote Jobs in Decatur, GA

IT Labs

Senior DevOps Engineer

Atlanta, GA · Remote

$133K - $170K/yr

... cloud infrastructure across AWS and Azure to support continued growth -- and they need strong ... Remote * US-based -- US citizenship is required * Contract or B2B arrangement Our values We are a ...

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

Design, develop, and maintain scalable cloud infrastructure * Automate deployment, scaling and ... Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps) * Experience with DVCS tooling (Git ...

FHR

MO1-613-Senior Azure Cloud Engineer 11694-1

Atlanta, GA · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This position is up to 12 months, with the option of extension, in Columbia, SC Please send rates and a resume.

Maximus

Cloud Platform Engineer

Kennesaw, GA · Remote

$51.50 - $68.75/hr

... Infrastructure as Code (e.g., ARM templates, Bicep, Terraform) for automated provisioning and ... Azure or Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3 ...

Maximus

Cloud Platform Engineer

Atlanta, GA · Remote

$53.50 - $71.75/hr

... Infrastructure as Code (e.g., ARM templates, Bicep, Terraform) for automated provisioning and ... Azure or Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3 ...

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All JobsAzure Infrastructure Engineer Remote JobsAzure Infrastructure Engineer Remote Jobs in Decatur, GA

Azure Infrastructure Engineer Remote information

See Decatur, GA salary details

$45.4K

$124.1K

$177.7K

How much do azure infrastructure engineer remote jobs pay per year?

As of Jul 4, 2026, the average yearly pay for azure infrastructure engineer remote in Decatur, GA is $124,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $137,700.00 per year, depending on experience, location, and employer.

What does an Azure Infrastructure Engineer do when working remotely?

An Azure Infrastructure Engineer working remotely is responsible for designing, implementing, and managing cloud-based infrastructure solutions using Microsoft Azure. Their tasks include configuring virtual networks, deploying virtual machines, managing storage solutions, ensuring security compliance, and troubleshooting issues. They collaborate with development and IT teams to optimize cloud environments, automate deployments, and maintain system reliability and performance—all while working from a remote location. Effective communication and strong problem-solving skills are essential for success in this role.

What are some common challenges faced by Azure Infrastructure Engineers working remotely, and how can they be addressed?

Azure Infrastructure Engineers working remotely often face challenges such as coordinating effectively with geographically dispersed teams, managing secure access to cloud resources, and staying updated with the rapidly evolving Azure platform. To address these issues, it's important to leverage collaboration tools like Microsoft Teams, establish clear communication channels, and follow best practices for cloud security and access management. Regularly participating in virtual training and knowledge-sharing sessions can also help engineers remain current and connected with their peers.

What is the difference between Azure Infrastructure Engineer Remote vs Azure Cloud Administrator?

AspectAzure Infrastructure Engineer RemoteAzure Cloud Administrator
CertificationsAzure Solutions Architect, AZ-104, AZ-700AZ-104, AZ-103, Azure Administrator Associate
Work EnvironmentRemote, cloud-focused infrastructure setup and managementRemote or on-site, managing Azure cloud resources and services
Job ResponsibilitiesDesigning, deploying, and maintaining Azure infrastructureManaging and monitoring Azure cloud environments, user access, and security

The Azure Infrastructure Engineer Remote and Azure Cloud Administrator roles share certifications and work environments but differ mainly in scope. The engineer focuses on designing and deploying infrastructure, while the administrator manages day-to-day cloud operations. Both roles are essential in cloud-based organizations and often overlap in skills and tools used.

What are the key skills and qualifications needed to thrive as an Azure Infrastructure Engineer (Remote), and why are they important?

To thrive as an Azure Infrastructure Engineer, you need expertise in cloud architecture, networking, virtualization, and strong knowledge of Microsoft Azure services, typically supported by a bachelor's degree in IT or related field. Familiarity with tools like Azure Resource Manager, PowerShell scripting, Azure DevOps, and certifications such as Microsoft Certified: Azure Administrator Associate are often required. Strong problem-solving skills, effective communication, and the ability to work independently are vital soft skills for this remote role. These skills are crucial for designing, deploying, and maintaining secure, scalable cloud solutions while collaborating efficiently across distributed teams.
What are popular job titles related to Azure Infrastructure Engineer Remote jobs in Decatur, GA? For Azure Infrastructure Engineer Remote jobs in Decatur, GA, the most frequently searched job titles are:
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Azure Infrastructure Engineer Remote jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Atlanta, GA • Remote

Full-time

Posted 12 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply