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Senior Cloud Engineer Remote Jobs in Rochester, MN

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Senior Cloud Engineer Remote information

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$60.5K

$128.6K

$186.5K

How much do senior cloud engineer remote jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior cloud engineer remote in Rochester, MN is $128,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $145,900.00 per year, depending on experience, location, and employer.

What does a senior cloud engineer do, especially in a remote role?

A Senior Cloud Engineer is responsible for designing, implementing, and managing cloud-based infrastructure and services for organizations. Working remotely, they collaborate with development and operations teams to ensure cloud environments are secure, scalable, and reliable. Their tasks often include automating deployments, monitoring performance, troubleshooting issues, and optimizing costs. Additionally, they stay updated with the latest cloud technologies and best practices to support business goals.

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

To thrive as a Senior Cloud Engineer (Remote), you need deep expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure-as-code, and systems architecture, typically supported by a relevant degree and industry certifications. Familiarity with tools like Terraform, Kubernetes, CI/CD pipelines, and security protocols is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for collaborating effectively across distributed teams. These competencies ensure secure, scalable, and efficient cloud solutions while enabling successful remote teamwork and project delivery.

How does a senior cloud engineer typically collaborate with cross-functional teams in a remote work environment?

As a Senior Cloud Engineer working remotely, you will regularly collaborate with developers, DevOps engineers, project managers, and security teams through virtual meetings, chat platforms, and collaborative tools. Your role often involves consulting on cloud infrastructure best practices, troubleshooting deployment issues, and participating in architecture review sessions. Clear communication and documentation are essential, as you'll frequently coordinate project updates, share technical insights, and ensure cloud solutions align with business goals across distributed teams.

What are popular job titles related to Senior Cloud Engineer Remote jobs in Rochester, MN?

For Senior Cloud Engineer Remote jobs in Rochester, MN, the most frequently searched job titles are:

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The top searched job categories for Senior Cloud Engineer Remote jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Senior Cloud Engineer Remote jobs?

Cities near Rochester, MN with the most Senior Cloud Engineer Remote job openings:

Senior Cloud Engineer Remote jobs near you
Infographic showing various Senior Cloud Engineer Remote job openings in Rochester, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,644 per year, or $61.8 per hour.

Generative AI Automation Engineer - Remote Job

Rochester, MN • Remote

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

Full-time

Re-posted 19 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