Cloud Infrastructure Engineer - AWS & ML Tooling

Position Overview

Zelis is seeking a hands-on Infrastructure Engineer to help scale and mature our cloud and automation environment. In this role, within our Data Intelligence group and in close collaboration with the Cloud Center of Excellence (CCOE), you will support production infrastructure needs for data, analytics, and ML-based applications on AWS. Your focus on automation, deployment pipelines, cloud networking, and security best practices will ensure the resilience and high performance of our systems.

Key Responsibilities

• Build and maintain AWS infrastructure using Terraform or CloudFormation (IaC).
• Manage containerized applications with ECS and optimize SageMaker infrastructure for ML teams.
• Design, monitor, and improve networking architecture including VPCs, security groups, load balancers, and DNS.
• Maintain and enhance CI/CD pipelines to support automated testing, deployment, and rollback.
• Collaborate with engineering teams to optimize deployment flows and reduce friction across environments.
• Implement infrastructure security and support compliance efforts (HIPAA, SOC2, etc.).
• Participate in cost optimization reviews and system uptime monitoring, troubleshooting as needed.

Required Qualifications

• 5+ years of DevOps, Infrastructure, or Site Reliability Engineering experience in a cloud-native production environment.
• Deep expertise with AWS services, particularly ECS, EC2, VPC, IAM, and CloudWatch.
• Experience managing ML-adjacent infrastructure, particularly AWS SageMaker.
• Strong background in infrastructure as code using Terraform or CloudFormation.
• Comfortable writing deployment and automation scripts in Python, Bash, or Ruby.
• Hands-on experience implementing secure, compliant cloud environments.

Preferred Qualifications

• AWS Solutions Architect Associate or Professional certification.
• Experience migrating legacy workloads to AWS.
• Familiarity with GitHub Actions, Jenkins, or other CI/CD tools.
• Understanding of supporting analytics and ML teams from an operational perspective.

Benefits & Perks

• Hybrid and remote friendly work culture with flexible work locations.
• Offices located in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India.
• Equal Employment Opportunity – A commitment to diversity and inclusion.
• Accessible application process including accommodations for candidates with disabilities.