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

As of Jun 21, 2026, the average hourly pay for remote azure devops engineer in Iowa is $56.86, according to ZipRecruiter salary data. Most workers in this role earn between $47.64 and $65.24 per hour, depending on experience, location, and employer.

What is a Remote Azure DevOps Engineer job?

A Remote Azure DevOps Engineer is responsible for developing, implementing, and maintaining CI/CD pipelines, infrastructure automation, and cloud-based deployment processes using Microsoft Azure. They collaborate with development and operations teams to streamline software delivery, improve system reliability, and enhance security. Working remotely, they leverage tools like Azure DevOps, Terraform, Kubernetes, and scripting languages to optimize workflows and monitor cloud environments efficiently.

What are the most common daily responsibilities of a Remote Azure DevOps Engineer?

As a Remote Azure DevOps Engineer, your typical day involves designing, implementing, and managing CI/CD pipelines, automating infrastructure deployment using tools like ARM templates and Terraform, and ensuring the reliability and scalability of cloud environments. You’ll regularly monitor systems, resolve incidents, and collaborate closely with developers, QA teams, and other stakeholders to optimize workflows. Communication and coordination via digital tools play a significant role due to the remote nature of the job. This role often provides opportunities to work on diverse projects and adopt the latest cloud technologies, helping you grow your expertise and advance your career.

What are the key skills and qualifications needed to thrive in the Remote Azure Devops Engineer position, and why are they important?

To thrive as a Remote Azure DevOps Engineer, you need a strong foundation in cloud infrastructure, automation, CI/CD pipelines, and scripting, usually supported by a degree in computer science or a related field. Hands-on experience with Microsoft Azure, tools like Azure DevOps, Terraform, and Docker, as well as certifications such as Microsoft Certified: Azure DevOps Engineer Expert are highly valued. Excellent problem-solving, collaboration, and communication skills are essential for remote teamwork and effective project delivery. These skills ensure efficient infrastructure management, smooth deployment processes, and seamless cross-functional collaboration in distributed environments.

What are popular job titles related to Remote Azure Devops Engineer jobs in Iowa? For Remote Azure Devops Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Azure Devops Engineer jobs in Iowa look for? The top searched job categories for Remote Azure Devops Engineer jobs in Iowa are:
Remote Azure Devops Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Clinton, IA • Remote

Other

Posted 29 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