... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies ...
This is a remote position. We are looking for a great JavaScript developer who is proficient with ... Terraform * Elixir / Node.js * AWS / Azure Cloud Requirements * 2+ years of experience in React ...
This is a remote position. We are looking for a great JavaScript developer who is proficient with ... Terraform * Elixir / Node.js * AWS / Azure Cloud Requirements * 2+ years of experience in React ...
Remote Azure Engineer information
See Enterprise, MS salary details
$24.85 - $29.39
1% of jobs
$29.39 - $33.93
5% of jobs
$33.93 - $38.47
9% of jobs
$42.39 is the 25th percentile. Wages below this are outliers.
$38.47 - $43.01
12% of jobs
$43.01 - $47.55
10% of jobs
The median wage is $51.76 / hr.
$47.55 - $52.09
15% of jobs
$52.09 - $56.63
15% of jobs
$59.84 is the 75th percentile. Wages above this are outliers.
$56.63 - $61.17
13% of jobs
$61.17 - $65.70
10% of jobs
$65.70 - $70.24
10% of jobs
$70.24 - $74.78
2% of jobs
$24
$52
$74
How much do remote azure engineer jobs pay per hour?
As of Aug 5, 2026, the average hourly pay for remote azure engineer in Enterprise, MS is $52.30, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $60.72 per hour, depending on experience, location, and employer.
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 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 cities near Enterprise, MS are hiring for Remote Azure Engineer jobs? Cities near Enterprise, MS with the most Remote Azure Engineer job openings:
Full-time
Re-posted 15 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:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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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.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020