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Allstate

Product Engineer (Cloud Platform)

Posted 3 Days Ago
Remote
Hiring Remotely in US
79K-142K Annually
Mid level
Remote
Hiring Remotely in US
79K-142K Annually
Mid level
As a Cloud Platform Engineer, you will support ML development workflows, build infrastructure, and implement CI/CD pipelines for model deployment, ensuring quality and scalability.
The summary above was generated by AI

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

We are looking for a Cloud Platform Engineer to support and accelerate our Machine Learning development and deployment workflows. In this role, you'll work at the intersection of machine learning, infrastructure, and software engineering—building tools and platforms that empower data scientists and ML engineers to iterate, deploy, and scale models efficiently.
You will leverage test driven development and continuous integration to ensure agility and quality of products. You will actively participate in the decision-making process of the team ensuring that the simplest appropriate technology and design is chosen to meet user needs.
The internal Allstate job title used for this role is Cloud Platform Engineer Senior Consultant II.

Key responsibilities

  • Designs, builds, and maintains infrastructure for ML experimentation, model training, and deployment.

  • Develops and manages CI/CD pipelines for ML workflows (data ingestion, model training, testing, and deployment).

  • Implements and manages ML platforms (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) to support reproducibility and scalability.

  • Creates tools and environments to automate data versioning, model tracking, and artifact management.

  • Collaborates with data scientists to enable self-service access to compute resources and production systems.

  • Monitors, logs, and alerts on ML system health and model performance in production.

  • Enforces MLOps best practices across teams, including governance, model validation, and rollback strategies.

  • Ensures infrastructure security, cost-efficiency, and compliance.

  • Practices daily paired programming and test-driven development in writing software and building product

  • Participates in executing the strategy, keeping the customer needs and wants in mind

  • Establishes continuous integration, continuous delivery, and continuous deployment pipelines and practices

  • Participates in retrospectives to gather feedback and derive actionable items to improve the team and the product

  • Participates in iteration planning meetings ensuring that the team has a common understanding of each story and chores in a team’s backlog

Qualifications

  • 3+ years of experience with software development languages such as Python, Java. (Preferred)

  • 3+ years of experience with Cloud Technologies such as Azure and AWS. (Preferred)

  • 3+ years of experience with DevOps. (Preferred)

  • 3+ years of experienced with Infrastructure as Code technologies such as Terraform, Ansible, Chef or Puppet. (Preferred)

  • Exposure to machine learning frameworks and distributed data processing tools like Apache Spark or equivalents.

Education

4 year Bachelors Degree (Preferred)

Experience

3 or more years of experience (Preferred)

Supervisory Responsibilities

This job does not have supervisory duties.

Education & Experience (in lieu)

In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

#LI-MF1

Skills

Cloud Platform, Continuous Delivery, Continuous Deployment, Continuous Integrations, DevOps, Software Development

Compensation

Compensation offered for this role is $78,600.00 - 142,275.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Top Skills

Ansible
Spark
AWS
Azure
Chef
Ci/Cd
Java
Kubeflow
Mlflow
Puppet
Python
Sagemaker
Terraform
Vertex Ai

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