Cloud Platform Engineer Consultant II

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 engineeringbuilding 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 teams backlog

Education

4 year Bachelors Degree (Preferred)

Experience

• 2+ years of experience with software development languages such as Python, Java. (Preferred)
• 2+ years of experience with Cloud Technologies such as Azure and/or AWS. (Preferred)
• 1+ years of experience with DevOps. (Preferred)
• 1+ years of experienced with Infrastructure as Code technologies such as Terraform, Cloud Formation etc. (Preferred)
• Exposure to machine learning frameworks and distributed data processing tools like Apache Spark or equivalents.

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.