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Remote Cloud Engineer Jobs in Vermont (NOW HIRING)

Workiva

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

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All JobsCloud Engineer JobsRemote Cloud Engineer JobsRemote Cloud Engineer Jobs in Vermont

Remote Cloud Engineer information

See Vermont salary details

$25

$66

$92

How much do remote cloud engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote cloud engineer in Vermont is $66.86, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $76.15 per hour, depending on experience, location, and employer.

What is a remote cloud engineer?

A Remote Cloud Engineer is an IT professional who designs, implements, and manages cloud-based infrastructure and services for organizations, all while working remotely. Their responsibilities often include configuring cloud environments, ensuring security and compliance, automating deployments, and troubleshooting technical issues. Remote Cloud Engineers work with platforms like AWS, Azure, or Google Cloud, and collaborate with teams using virtual communication tools. This role allows professionals to contribute to cloud projects without needing to be physically present at the company's office, making it ideal for those seeking flexible work arrangements.

What does a remote cloud engineer do?

As a remote cloud engineer, you work from home to design and develop software that runs in the cloud and maintain cloud systems and hardware. If you specialize in software development, then you typically write and test software. If your focus is on infrastructure, then your duties revolve around designing and deploying hardware and storage systems, implementing backup procedures, and ensuring the security of computer resources. In an information management role, your responsibilities include managing high-volume data migrations or supporting clients by architecting solutions for complex business needs.

What are the key skills and qualifications needed to thrive as a remote cloud engineer, and why are they important?

To thrive as a Remote Cloud Engineer, you need a strong background in computer science, cloud architecture, and experience with platforms like AWS, Azure, or Google Cloud, often supported by relevant degrees or certifications. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CI/CD pipelines, and cloud security best practices is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills ensure secure, scalable cloud solutions and seamless teamwork, even when working remotely.

How do remote cloud engineers typically collaborate with team members across different time zones?

Remote Cloud Engineers often work with globally distributed teams, which means effective communication and coordination are essential. Collaboration is usually managed through tools like Slack, Microsoft Teams, or Jira, while regular video meetings help keep everyone aligned. Engineers need to be proactive in documenting their work and updates to ensure transparency and continuity, especially when team members may not be online simultaneously. Flexibility with schedules and strong written communication skills are key to overcoming time zone challenges and maintaining team productivity.

What is the difference between Remote Cloud Engineer vs Cloud Developer?

AspectRemote Cloud EngineerCloud Developer
Required CredentialsCloud certifications (AWS, Azure, GCP), Linux, networkingProgramming skills, cloud platform knowledge, certifications optional
Work EnvironmentCloud infrastructure, deployment, troubleshootingApplication development, coding, software design
Employer & Industry UsageIT companies, cloud service providers, tech firmsSoftware companies, startups, SaaS providers
Common Search & Comparison IntentUnderstanding roles, skills, job requirementsDevelopment focus, coding responsibilities

Remote Cloud Engineers focus on managing and maintaining cloud infrastructure, while Cloud Developers primarily develop applications on cloud platforms. Both roles often require cloud certifications and work in tech-driven environments, but their core responsibilities differ—one handles infrastructure, the other software development.

Is remote cloud engineering still in demand?

Remote cloud engineering remains in high demand due to the ongoing growth of cloud services and digital transformation across industries. Professionals with skills in cloud platforms like AWS, Azure, or Google Cloud, along with certifications and experience in automation and security, are particularly sought after. The role often requires strong problem-solving skills and the ability to work independently in a remote environment.
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The top searched job categories for Remote Cloud Engineer jobs in Vermont are:

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Remote Cloud Engineer jobs near you
Infographic showing various Remote Cloud Engineer job openings in Vermont as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $139,076 per year, or $66.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rutland, VT • Remote

Full-time

Re-posted 14 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