Senior Cloud Services Engineer (Identity and Fraud, AI/ML)

Equifax • Boise, ID

50d

About The Position

As a Cloud Engineer on the USIS Data & Analytics Team in Boise, you will be responsible for partnering with your teammates to develop the strategy/design of services the team owns in our cloud environments (AWS/GCP) incorporating industry best practices and in collaboration with internal and/or external stakeholders. In addition, you will work with teams across Equifax to enable our products by bringing solutions to market serving our internal and external customers.

Requirements

• BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
• 7+ years of related work experience, preferrably in-depth experience with AWS and GCP.
• Experience supporting AI/ML platforms and services, including infrastructure for model training, deployment, and inference.
• Experience with MLOps frameworks and tools for model versioning, experiment tracking, and workflow automation (e.g., MLFlow, Kubeflow, AWS Step Functions).
• Proven experience in technical leadership and mentorship, with the ability to influence strategy and partner between EFX teams.
• In-depth experience with containerization (Docker), container orchestration systems, specifically Kubernetes (e.g., EKS, GKE), and service mesh solutions (e.g., Istio).
• Expertise with Infrastructure as Code (IaC), primarily using Terraform to define and manage cloud resources.
• Experience with metrics, monitoring, and visualization tools such as Grafana or DataDog.
• Experience with network design and operations in a production environment.
• Excellent written and communication skills.
• Ability to take vague requirements, develop a plan, and execute it with first-time quality while keeping it simple and compliant.

Nice To Haves

• Experience with model serving patterns for deploying models with scalable, low-latency microservices on Kubernetes.
• Experience with build automation systems such as GitLab CI.
• Scripting or programming experience. Desire to automate where it makes sense and is possible.
• Deep experience with Terraform, including extensive terraform module development experience at scale.
• Experience with network/server configuration for automated software deployment.
• Experience in the Financial Industry or Ecommerce.
• Familiarity with Snowflake, including running queries for validation and supporting application-level integrations.
• Experience with Golang or Python.
• Experience with integration of APM solutions such as DataDog.
• Experience with Linux administration and troubleshooting.

Responsibilities

• Execute strategy, design, implementation, operation, and continual improvement of the team's products and services, and their associated infrastructure.
• Provide guidance through enabling the Machine Learning Engineers and Data Scientists to perform their job duties in the most secure, efficient, innovative, and cost-effective way as possible.
• Implement secure and scalable solutions in our cloud environments (AWS/GCP) that meet the needs of our internal and external customers. This includes partnering with other EFX Teams to implement what's required.
• Build CI/CD pipelines to deploy infrastructure and application changes to multiple environments and regions.
• Manage data pipelines, including designing, implementing, and operating multiple data pipelines with other internal teams.
• Define all cloud resources using Terraform.
• Troubleshoot and resolve issues across services deployed to environments in our cloud environments (AWS/GCP).
• Participate in relevant role-based guilds across Equifax.
• Participate in the team's on-call rotation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Administrative and Support Services
• Number of Employees: 5,001-10,000 employees