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Senior Cloud Engineer Jobs in Racine, WI (NOW HIRING)

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Manage and communicate cloud infrastructure costs and budgets to project stakeholders * Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

Ultimus Fund Solutions

Senior AI Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise ... Deep expertise in Python, SQL, and enterprise cloud data platforms * Ability to work effectively ...

Deloitte

Oracle Tech Cloud Senior Consultant

Milwaukee, WI · On-site

$62.50 - $78.75/hr

As an Oracle Senior Consultant at Deloitte, you will help clients define their cloud strategy ... Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a ...

Deloitte

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$103K - $141K/yr

Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

About the Role As Senior Software Engineer, you will collaborate closely with design, product and ... Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud ...

Deloitte

Lead Cloud Security Analyst

Milwaukee, WI · On-site

Collaborate closely with architecture, engineering, and network teams on cloud architecture, micro ... Proactively communicate risks, priorities, and achievements to senior stakeholders. Translate ...

Accenture

Google Data Specialist

Milwaukee, WI · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

Direct Supply

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $158K/yr

In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and ... Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications. • Strong ...

ULINE

Senior Software Engineer

Pleasant Prairie, WI · On-site

$118K - $156K/yr

Join us as a Senior Software Engineer, where you'll works hands-on to design and implement solutions that power our always-on cloud-native microservices and drive success at our growing North ...

Uline

Senior Software Engineer

Pleasant Prairie, WI

$118K - $156K/yr

Join us as a Senior Software Engineer, where you'll works hands-on to design and implement solutions that power our always-on cloud-native microservices and drive success at our growing North ...

Uline

Senior Software Engineer

Pleasant Prairie, WI

$118K - $156K/yr

Join us as a Senior Software Engineer, where you'll works hands-on to design and implement solutions that power our always-on cloud-native microservices and drive success at our growing North ...

ULINE

Senior Software Engineer

Waukegan, IL

$116K - $153K/yr

Join us as a Senior Software Engineer, where you'll works hands-on to design and implement solutions that power our always-on cloud-native microservices and drive success at our growing North ...

ULINE

Senior Software Engineer

Pleasant Prairie, WI

$118K - $156K/yr

Join us as a Senior Software Engineer, where you'll works hands-on to design and implement solutions that power our always-on cloud-native microservices and drive success at our growing North ...

ULINE

Senior Software Engineer

Kenosha, WI

$119K - $157K/yr

Join us as a Senior Software Engineer, where you'll works hands-on to design and implement solutions that power our always-on cloud-native microservices and drive success at our growing North ...

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Showing results 21-40

All JobsCloud Engineer JobsSenior Cloud Engineer JobsSenior Cloud Engineer Jobs in Racine, WI

Senior Cloud Engineer information

See Racine, WI salary details

$55.8K

$118.7K

$172.1K

How much do senior cloud engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior cloud engineer in Racine, WI is $118,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $134,600.00 per year, depending on experience, location, and employer.

What is a senior cloud engineer?

Senior Cloud Engineers are experienced IT professionals who design, implement, and manage cloud computing solutions for organizations. They are responsible for overseeing cloud infrastructure, ensuring security, optimizing performance, and supporting cloud-based applications. These engineers often work with platforms like AWS, Azure, or Google Cloud, and may lead teams or projects to migrate, maintain, or scale cloud environments. Their expertise includes automation, networking, and troubleshooting complex cloud issues. In addition, they collaborate closely with other IT teams to align cloud strategies with business objectives.

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

To thrive as a Senior Cloud Engineer, you need deep expertise in cloud architecture, networking, security, and automation, typically supported by a degree in computer science or a related field and several years of industry experience. Familiarity with major cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure-as-code tools (like Terraform or CloudFormation), and relevant certifications (e.g., AWS Certified Solutions Architect) is highly valued. Strong problem-solving skills, effective communication, and leadership abilities help you manage complex projects and collaborate with cross-functional teams. These competencies are crucial for designing robust, scalable cloud solutions and ensuring seamless business operations in dynamic environments.

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

Senior Cloud Engineers often encounter challenges such as compatibility issues between legacy systems and cloud platforms, data migration complexities, and ensuring minimal downtime during the transition. They must also address security and compliance concerns, re-architect applications for scalability, and optimize costs. Effective communication with stakeholders and collaboration with development, security, and operations teams are critical to overcoming these obstacles successfully.

What is the difference between Senior Cloud Engineer vs Cloud Solutions Architect?

AspectSenior Cloud EngineerCloud Solutions Architect
CredentialsCloud certifications (AWS, Azure, GCP), engineering degreesCloud certifications, architecture certifications (AWS Solutions Architect, Azure Solutions Architect)
Work EnvironmentDesign, implement, and maintain cloud infrastructure; hands-on technical roleDesign cloud solutions, create architecture diagrams, collaborate with stakeholders
Employer & Industry UsageTech companies, cloud service providers, enterprisesConsulting firms, large enterprises, cloud service providers
Search & Comparison IntentTechnical responsibilities, certifications, hands-on workDesigning solutions, architecture planning, strategic role

The main difference is that Senior Cloud Engineers focus on implementing and maintaining cloud infrastructure, while Cloud Solutions Architects design cloud solutions and architecture strategies. Both roles require cloud certifications and work in similar environments, but their core responsibilities differ in technical execution versus strategic planning.

What are the most commonly searched types of Cloud Engineer jobs in Racine, WI?

The most popular types of Cloud Engineer jobs in Racine, WI are:

What job categories do people searching Senior Cloud Engineer jobs in Racine, WI look for?

The top searched job categories for Senior Cloud Engineer jobs in Racine, WI are:

What cities near Racine, WI are hiring for Senior Cloud Engineer jobs?

Cities near Racine, WI with the most Senior Cloud Engineer job openings:

Senior Cloud Engineer jobs near you
Infographic showing various Senior Cloud Engineer job openings in Racine, WI as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $118,670 per year, or $57.1 per hour.

Senior MLOps Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

$104K - $144K/yr

Other

Re-posted 17 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,464 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

About the Role

As Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.

What You’ll Do

  • Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling

  • Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency

  • Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation

  • Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle

  • Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development

  • Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure

  • Develop, document, and communicate implementations and best practices across the data science lifecycle

  • Manage and communicate cloud infrastructure costs and budgets to project stakeholders

  • Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments

  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery

  • In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.

  • Extensive expertise with CI/CD and 

  • IaC best practices

  • Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL

  • Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Experience working in Agile environments with an emphasis on iterative development and continuous delivery

Preferred

  • Master’s Degree 

  • Proficiency in Java or other languages

  • Retail experience

  • E-commerce experience

  • 5+ years of experience in Machine Learning

  • Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)

  • Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

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