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Gcp Developer Operations Jobs in Milwaukee, WI (NOW HIRING)

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Stay current with GCP services and evolving best practices in Machine Learning Engineering and ... Experience in MLOps or DevOps practices, including building and operating production ML systems ...

Accenture

Google Senior Data Engineer

Milwaukee, WI · On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization ... Support operational processes for data validation, testing, and monitoring. 5. Continuous Learning ...

Accenture

Google Data Specialist

Milwaukee, WI · On-site

$70K - $196K/yr

... operational processes for data validation, testing, and monitoring. 5. Continuous Learning & Team Support * Learn and apply GCP Data & AI best practices across architectural patterns, engineering ...

Nuuly

Nuuly Senior Software Engineer

Milwaukee, WI · On-site

$120 - $160/hr

... Platform (GCP), AWS, or Azure focused on driving toward zero-downtime deployments. As a Senior ... Operational knowledge of one or more server-side object-oriented programming languages (Java ...

Nuuly

Nuuly Senior Software Engineer

WI · On-site

$120K - $159K/yr

... Platform (GCP), AWS, or Azure focused on driving toward zero-downtime deployments. As a Senior ... Operational knowledge of one or more server-side object-oriented programming languages (Java ...

Nuuly

Nuuly Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

... Platform (GCP), AWS, or Azure focused on driving toward zero-downtime deployments. As a Senior ... Operational knowledge of one or more server-side object-oriented programming languages (Java ...

Fiserv, Inc.

Data Architecture - Sr Advisor II

Milwaukee, WI · On-site

$66.25 - $88.75/hr

Working with on prem and public cloud architecture including AWS, Azure and GCP; Leveraging object-oriented design pattern; Working with the Agile methodology; Working in DevOps; Implementing high ...

KOHLS

Systems Engineer (Remote)

Menomonee Falls, WI · On-site

... GCP, AWS or Azure * Understanding of software engineering practices, including CI/CD and automation * Knowledge of security best practices for system operations * Strong analytical and problem ...

Brooksource

Solution Architect

Milwaukee, WI · On-site

$65 - $75/hr

Deep understanding of software development, cloud computing (AI, AWS, Azure, GCP), networking, and ... Azure DevOps/Git Hub Enterprise (Git) * Infrastructure: Terraform * Operating System: Windows ...

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As of Aug 19, 2026, the average hourly pay for gcp developer operations in Milwaukee, WI is $52.58, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $62.74 per hour, depending on experience, location, and employer.

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Senior MLOps Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

$104K - $144K/yr

Other

Re-posted 20 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,465 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

What Kohl's employees say

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