ZipRecruiter

Log In

2

Remote Cloud Developer Jobs in Muskegon, MI (NOW HIRING)

CFS

Oracle Fusion Integrations Engineer

Hudsonville, MI · On-site +1

$156K/yr

Location: Remote or Hybrid (company based in West Michigan) Job Overview: The Oracle Fusion ... The ideal candidate has deep experience with Oracle Integration Cloud (OIC) , Oracle Cloud ...

Andy J Egan Co.

VDC Layout Detailer

Grand Rapids, MI · Remote

Familiarity with Autodesk Construction Cloud / BIM 360 or similar cloud collaboration platforms ... Ability to read and understand engineered contract drawings. * Knowledge of mechanical, plumbing ...

All JobsCloud Developer JobsRemote Cloud Developer JobsRemote Cloud Developer Jobs in Muskegon, MI

Remote Cloud Developer information

See Muskegon, MI salary details

$9

$55

$76

How much do remote cloud developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote cloud developer in Muskegon, MI is $55.75, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $66.88 per hour, depending on experience, location, and employer.

What does a remote cloud developer do?

A Remote Cloud Developer is responsible for designing, developing, and maintaining applications and services that run on cloud platforms such as AWS, Azure, or Google Cloud. They work remotely to create scalable, secure, and efficient solutions using cloud technologies, often collaborating with teams through online tools. Their tasks include writing code, integrating APIs, deploying applications, and optimizing cloud resources. This role requires strong programming skills, familiarity with cloud architectures, and the ability to troubleshoot and resolve issues in a distributed environment.

What skills and qualifications are needed to thrive as a remote cloud developer?

To thrive as a Remote Cloud Developer, you need strong programming skills (such as Python, Java, or Node.js), experience with cloud platforms like AWS, Azure, or Google Cloud, and often a relevant degree or certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud-specific services (e.g., AWS Lambda, Azure Functions) is typically required. Excellent problem-solving, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure the effective development, deployment, and maintenance of scalable cloud solutions in distributed work environments.

How do remote cloud developers collaborate with distributed teams and manage project communication?

Remote Cloud Developers frequently work with geographically dispersed teams, making effective communication and collaboration essential. Most teams rely on tools like Slack, Microsoft Teams, and project management platforms such as Jira or Trello to coordinate tasks, share updates, and resolve issues. Regular stand-up meetings, code reviews, and documentation are important to ensure alignment and maintain code quality. Adapting to asynchronous communication and being proactive about clarifying requirements or roadblocks can help overcome challenges related to time zone differences and remote work dynamics.

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

AspectRemote Cloud DeveloperCloud Engineer
Required CredentialsTypically requires cloud platform certifications (AWS, Azure, GCP), programming skills, and development experienceOften requires similar certifications, with a focus on infrastructure, deployment, and system architecture
Work EnvironmentPrimarily focused on software development, coding, and application deployment in cloud environmentsInvolves designing, implementing, and managing cloud infrastructure and services
Employer & Industry UsageUsed by tech companies, startups, and organizations developing cloud-based applicationsEmployed by cloud service providers, large enterprises, and organizations managing cloud infrastructure
Common Search & Comparison IntentPeople compare these roles to understand development vs infrastructure responsibilities in cloud computing

Remote Cloud Developers focus on coding and deploying cloud applications, while Cloud Engineers handle infrastructure design and management. Both roles require cloud certifications and are integral to cloud-based projects, but they differ in daily tasks and responsibilities.

What are popular job titles related to Remote Cloud Developer jobs in Muskegon, MI?

For Remote Cloud Developer jobs in Muskegon, MI, the most frequently searched job titles are:

What cities near Muskegon, MI are hiring for Remote Cloud Developer jobs?

Cities near Muskegon, MI with the most Remote Cloud Developer job openings:

Remote Cloud Developer jobs near you
Infographic showing various Remote Cloud Developer job openings in Muskegon, MI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $115,964 per year, or $55.8 per hour.

Generative AI Automation Engineer - Remote Job

Allendale, MI • Remote

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

Full-time

Re-posted 22 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