✦ Luna Orbit — Cloud & Infrastructure

Cloud MLOps Engineer (Hybrid)

at American Family Insurance Group

📍 9 Locations Hybrid 💰 $80K – $131K USD / year Posted April 05, 2026
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Position Details

Salary $80K – $131K USD / year
Type Full-Time
Experience mid
Exp. Years 4+ years
Category Cloud & Infrastructure

About this role

Cloud MLOps Engineer – Hybrid at American Family Insurance Group focuses on automating CI/CD pipelines and managing multi-cloud infrastructure for ML production, collaborating with data science and engineering teams to evolve enterprise-scale big data applications.

Key Responsibilities

  • Build ML deployment automation pipelines
  • Manage multi-cloud infrastructure
  • Collaborate with data scientists to productionize models
  • Evaluate new tools to evolve DevOps practices
  • Work with DevOps/Data Engineering teams to integrate data pipelines

Technical Overview

Stack includes Java and Python for development, Boto3 and PySpark for data tooling, multi-cloud (AWS/GCP) with Linux, Kubernetes, Docker, and REST-based services; strong emphasis on CI/CD and IaC.

Ideal Candidate

The ideal candidate is a mid-level cloud/ML ops engineer with 4+ years of OO language experience (preferably Java), 3+ years Python, strong public cloud experience (AWS or GCP), and hands-on Kubernetes/Docker experience in a hybrid environment.

Must-Have Skills

4+ years developing in an Object-Oriented Programming language (Java preferred)3+ years developing in PythonFamiliarity with Boto3PySparkFamiliarity with JSONYAMLAVROParquet2+ years in Public Cloud environments (AWS or GCP)Strong familiarity with GCP2+ years in Linux environments2+ years in Integration EngineeringCI/CD or related fieldPractical experience setting up build pipelines2+ years working with GIT and other SCMExperience with Kubernetes and DockerExperience with REST web-services frameworks (Spring BootFlaskRails)

Tools & Platforms

KubernetesDockerGitSpring BootFlaskRails

Required Skills

JavaPythonBoto3PySparkJSONYAMLAVROParquetLinuxKubernetesDockerSpring BootFlaskRailsAmazon Web ServicesAWSGoogle Cloud PlatformGCPREST web-services frameworksCI/CDGitGitHub

Hard Skills

JavaPythonBoto3PySparkJSONYAMLAVROParquetLinuxKubernetesDockerSpring BootFlaskRailsAmazon Web ServicesAWSGoogle Cloud PlatformGCPREST web-services frameworksCI/CDGitGitHub

Soft Skills

collaborationproblem solvingcommunicationadaptabilityattention to detail

Industry & Role

Industry Insurance
Job Function Develop and operate cloud-based ML deployment infrastructure in a hybrid, multi-cloud environment.
Role Subtype CI/CD Engineer
Tech Domains Amazon Web Services, Google Cloud Platform, Linux, Kubernetes, Docker, Python, Java, SQL / PostgreSQL, JavaScript

Keywords for Your Resume

cloud mlops engineermlopscloud engineeringdevopskubernetesdockerci/cdinfrastructure as codeawsamazon web servicesgoogle cloud platformgcppythonjavapysparkboto3jsonyamlavroparquetlinuxsql / postgresqlrest web services

Deal Breakers

Sponsorship for visa required, Not located within reasonable distance of listed locations, Less than 4 years of OO development experience

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