Cloud Platform Lead Engineer

Allstate is a company focused on protecting families and their belongings from life’s uncertainties. They are seeking a Cloud Platform Lead Engineer who will be responsible for building and operating cloud application development platforms and leading engineering practices to improve system efficiency and team collaboration.

Responsibilities:

• Lead the design, build, and operation of cloud infrastructure supporting ML experimentation, training, and production deployments
• Define technical direction and best practices for ML platforms, MLOps, reliability, and cloud infrastructure
• Architect ML platforms for high availability, fault tolerance, and resiliency across supported environments
• Establish and own observability standards, including metrics, logging, tracing, alerting, and SLOs for ML platforms
• Build and oversee CI/CD pipelines and automation for infrastructure and ML workflows
• Drive infrastructure-as-code, automation, and reliability standards across the platform
• Proactively monitor, troubleshoot, and improve platform availability, performance, scalability, and recovery
• Champion MLOps best practices including model versioning, validation, promotion, monitoring, and rollback strategies
• Ensure platform security, compliance, and cost optimization
• Partner with data scientists, ML engineers, and product teams to deliver reliable, self-service ML capabilities
• Mentor engineers through design reviews, code reviews, and hands-on technical leadership
• Contribute to roadmap planning, prioritization, and execution aligned with business and customer needs
• Participate in agile ceremonies and drive continuous improvement across the team

Requirements:

• Proven experience leading cloud platform or infrastructure initiatives
• Strong hands-on experience with cloud platforms (Azure, AWS, and/or GCP)
• Deep knowledge of infrastructure as code, automation, CI/CD, and reliability engineering
• Experience designing highly available and resilient distributed systems
• Experience with ML platforms or MLOps tooling (e.g., MLflow, Kubeflow, Azure ML, SageMaker, Vertex AI)
• Familiarity with observability tools (e.g., Datadog, ELK, New Relic, Prometheus)
• Ability to influence technical direction and collaborate across teams
• Strong communication skills and a leadership mindset
• Amazon Web Services (AWS)
• Cloud Computing
• Cloud Engineering
• Cloud Management
• Cloud Software
• Cloud Technology
• DevOps
• Google Cloud Platform (GCP)
• Lead Engineering
• Microservice Framework
• Microsoft Azure
• Python (Programming Language)
• Python Software Development
• Terraform
• Terraform (Software)
• 6 or more years of experience (Preferred)