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Cloud Automation Engineer Remote Jobs in Utah (NOW HIRING)

MRIoA

Senior Azure Cloud Engineer (Remote)

Salt Lake City, UT · On-site +1

$54 - $72/hr

An award-winning remote work environment POSITION OVERVIEW Our Principal Cloud Engineer is a senior ... Develop scripting and automation solutions (PowerShell, Python, or Bash) to reduce manual ...

asburyauto

IT Enterprise Cloud Architect

Draper, UT · On-site +1

... eligible for remote or hybrid work. The IT Enterprise Cloud Architect to lead the design ... AWS Environment Engineering & Operations * Build and manage AWS environments using IaC * Maintain ...

asburyauto

IT Enterprise Cloud Architect

Draper, UT · On-site +1

... eligible for remote or hybrid work. The IT Enterprise Cloud Architect to lead the design ... AWS Environment Engineering & Operations * Build and manage AWS environments using IaC * Maintain ...

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Cloud Automation Engineer Remote information

What is a cloud automation engineer?

A Cloud Automation Engineer (Remote) is an IT professional who specializes in designing, implementing, and managing automated solutions for cloud-based systems, while working from a remote location. Their main responsibilities include creating scripts and workflows to automate deployment, scaling, monitoring, and maintenance tasks in cloud environments such as AWS, Azure, or Google Cloud. By leveraging tools like Terraform, Ansible, or Kubernetes, they help organizations increase efficiency, reduce manual errors, and optimize costs. Remote Cloud Automation Engineers collaborate with development and operations teams using virtual communication tools, ensuring seamless cloud infrastructure management regardless of their physical location.

What are the key skills and qualifications needed to thrive as a cloud automation engineer?

To thrive as a Cloud Automation Engineer (Remote), you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure as code (IaC) principles, scripting languages like Python or Bash, and often a degree in computer science or a related field. Familiarity with automation tools (e.g., Terraform, Ansible, Jenkins), CI/CD pipelines, and relevant certifications like AWS Certified DevOps Engineer or Azure DevOps Engineer are highly valued. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in a distributed team environment. These skills ensure efficient, secure, and scalable cloud infrastructure management, supporting business agility and reliability.

What are some common challenges faced by cloud automation engineers working remotely, and how can they overcome them?

Cloud Automation Engineers working remotely often encounter challenges such as coordinating with distributed teams, managing secure remote access to cloud environments, and staying updated on rapidly evolving cloud technologies. To overcome these, it's important to establish clear communication channels, utilize collaboration tools like Slack or Microsoft Teams, and follow best practices for cloud security. Regularly participating in virtual team meetings and industry webinars can also help maintain alignment and foster professional growth.

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Cloud Automation Engineer Remote jobs near you

Generative AI Automation Engineer - Remote Job

Logan, UT • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 25 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