Cloud MLOps Engineer (Hybrid)

You will support Data Science and Engineering teams by automating CI/CD pipelines and managing multi-cloud infrastructure for ML production. You will develop reusable, configuration-driven frameworks to improve data pipelines while collaborating across a diverse DevOps culture to evolve enterprise-scale big data applications.

You will report to a Senior Manager, Engineering.

You will be expected to work a minimum of 10 days per month from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110; Denver, CO 80112; Eden Prairie, MN 55343; Keene, NH 03431; St. Joseph, MO 64507; Phoenix, AZ 85034.

Internal candidates are encouraged to apply regardless of location and will be considered based upon the needs of the role.

Candidates who require sponsorship will not be considered for this position.

Position Compensation Range

$80,000.00 - $131,000.00

Pay Rate Type

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Responsibilities

• You will support Data Engineering and Data Science Teams, which includes application development support (Java, Python, etc.) for deployment of multi-cloud big-data applications and Machine Learning use cases. Engineers in this role are expected to focus on automation of deployment and integration tasks (CI/CD) and to drive cloud infrastructure management and automation. The role brings the opportunity to work in a diverse Data Engineering and ML space, and to grow into that role in keeping with the team's DevOps culture.
• Candidates are passionate about designing and developing in a fast-paced, agile, small-team environment. Engineers work to build out ML integrations and deployment automation pipelines and work closely with Data Scientists to bring to models into production. The work also includes data engineering work to create efficient and well-managed training and serving environments. The ideal candidate is an innovative problem solver with demonstrable success using a variety of open-source and cloud-native technologies, a highly team-oriented attitude, and a focus on framework-oriented, configuration-driven and highly reusable design approaches.
• Supports Cloud/Big Data Engineers in coding and integrating data pipelines for automated deployment.
• Evaluates new tools and approaches to continuously evolve the team's DevOps practice.
• Collaborates with DevOps, Data Engineering and Data Science teams in the Enterprise.
• Collaborate with Data Scientists and the current team in building out Agentic Frameworks.
  
  

Requirements

• 4 years developing in an Object-Oriented Programming language (Java preferred)
• 3 years developing in Python (may be combined with the above requirement, if Python experience is strictly OO coding)
• Familiarity with specialized scripting/SDKs related to data management (e.g.: Boto3, PySpark)
• Familiarity with key file formats: JSON, YAML, AVRO, Parquet
• 2 years working in Public Cloud environments (AWS or GCP required, others desirable)
• Strong familiarity with GCP environment
• 2 years working in Linux environments
• 2 years in Integration Engineering, CI/CD or related field
• Practical experience setting up build pipelines
• 2 years working with GIT and other SCM
• Experience with containerization frameworks (Kubernetes, Docker)
• Experience with REST web-services frameworks (e.g.: Spring Boot, Flask, Rails)
• Your offer will be made contingent on the results of applicable background checks and is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.
  

Additional Information

• Offer to selected candidate will be made contingent on the results of applicable background checks
• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
• Sponsorship will not be considered for this position unless specified in the posting
  
  

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.