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Cloud Engineer Jobs in Rochester, MN (NOW HIRING)

IBM

Software Developer Intern-Rochester, MN

Rochester, MN · On-site

$19.50 - $25.75/hr

... ) practices. • Experience with DevSecOps, security best practices, and secure software development. • Familiarity with IBM technologies, Red Hat OpenShift, IBM Cloud, or enterprise software ...

Mayo Clinic

Associate AI/ML Engineer

Rochester, MN

As an Associate AI/ML Engineer, you may work on the full spectrum of the AI life cycle from ... Knowledge in cloud infrastructure environment and software development tools. Skill in AI/ML ...

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How much do cloud engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for cloud engineer in Rochester, MN is $61.39, according to ZipRecruiter salary data. Most workers in this role earn between $52.36 and $69.95 per hour, depending on experience, location, and employer.

What is a cloud engineer?

As a cloud engineer, you manage and monitor cloud computing systems. Your job duties include creating, testing, and implementing cloud technologies based on the demands of your business. Many cloud engineers are involved in other aspects of information technology, such as overseeing SAP projects. Strong communication skills are required to communicate with clients to understand their needs so that you can create effective solutions for them. You work closely with the entire development team to create a work plan and timeline for deliverables on a project.

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

To thrive as a Cloud Engineer, you need a strong background in computer science, networking, and cloud computing platforms like AWS, Azure, or Google Cloud, often supported by a relevant degree or certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect. Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation), containerization (Docker, Kubernetes), and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively across technical and business teams. These skills ensure efficient cloud infrastructure deployment, robust security, and seamless operations critical for modern organizations.

What are some common challenges cloud engineers face when migrating legacy systems to the cloud?

Cloud Engineers often encounter challenges such as ensuring data integrity during migration, minimizing downtime, and addressing compatibility issues between legacy applications and cloud platforms. Additionally, they must plan for security and compliance requirements while optimizing costs and performance. Collaboration with cross-functional teams, including security, application owners, and business stakeholders, is crucial to successfully navigate these complexities and deliver a seamless transition.

What is the difference between Cloud Engineer vs Cloud Administrator?

AspectCloud EngineerCloud Administrator
CertificationsAWS, Azure, Google Cloud certifications, DevOps toolsSimilar cloud platform certifications, focus on administration
Work EnvironmentDesigning, developing, and deploying cloud solutionsManaging and maintaining cloud infrastructure
ResponsibilitiesBuilding cloud architecture, automation, scriptingMonitoring, configuring, troubleshooting cloud systems
Industry UsageUsed across tech, finance, healthcare for cloud deploymentPrimarily in organizations with existing cloud infrastructure

While both roles work with cloud platforms, Cloud Engineers focus on designing and building cloud solutions, whereas Cloud Administrators manage and maintain existing cloud environments. Understanding these differences helps in choosing the right career path or job role.

Do cloud engineers get paid well?

Cloud engineers typically earn competitive salaries due to the high demand for skills in cloud platforms like AWS, Azure, and Google Cloud. Salaries vary based on experience, certifications, and location, but generally, cloud engineering is considered a well-paying IT role. Professionals with expertise in scripting, automation, and security tend to have higher earning potential.

Is cloud engineering still in demand?

Cloud engineering remains in high demand as organizations continue to migrate to cloud platforms like AWS, Azure, and Google Cloud. Professionals with skills in cloud architecture, security, and automation are sought after, and certifications such as AWS Certified Solutions Architect can enhance job prospects.

What does a cloud engineer actually do?

A cloud engineer designs, implements, and manages cloud infrastructure and services, such as AWS, Azure, or Google Cloud. They handle tasks like deploying applications, ensuring security, optimizing performance, and maintaining cloud environments, often using scripting and automation tools. Strong knowledge of networking, security, and cloud platforms is essential for this role.
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For Cloud Engineer jobs in Rochester, MN, the most frequently searched job titles are:

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Cloud Engineer jobs near you
Infographic showing various Cloud Engineer job openings in Rochester, MN as of September 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,699 per year, or $61.4 per hour.

Generative AI Automation Engineer - Remote Job

Rochester, MN • On-site

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

Other

Re-posted 20 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

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