Cloud Infrastructure Engineer – AWS & ML Tooling
A Little About Us
A Little About You
While this is not an MLOps engineer role, familiarity with services like SageMaker and the ability to support ML workflows from an infrastructure standpoint is important. Your core focus will be automation, deployment pipelines, cloud networking, security best practices, and ensuring the resilience and performance of our AWS-hosted environments.
- Build and maintain AWS infrastructure using Terraform or CloudFormation (IaC)
- Manage containerized applications using ECS and help optimize SageMaker infrastructure used by 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
- 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 (Terraform, CloudFormation)
- Comfortable writing deployment and automation scripts in Python, Bash, or Ruby
- Hands-on experience implementing secure, compliant cloud environments
- 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 ops perspective
- Not a data science or MLOps role (though you'll support ML infrastructure)
- Not a high-level strategic platform architect
-
Not focused on theoretical platform ownership or innovation fluff
This is a practical, engineering-first role focused on well-structured, scalable infrastructure and automation in AWS.
Equal Employment Opportunity
Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
We welcome applicants from all backgrounds and encourage you to apply even if you don’t meet 100% of the qualifications for the role. We believe in the value of diverse perspectives and experiences and are committed to building an inclusive workplace for all.
Accessibility Support
We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email
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