Cloud Infrastructure Engineer – AWS & ML Tooling
Listed on 2025-12-09
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IT/Tech
Cloud Computing, Systems Engineer
Position Overview
Zelis is seeking a hands-on Infrastructure Engineer to help scale and mature our cloud and automation environment. This role sits within our Data Intelligence group and works closely with the Cloud Center of Excellence (CCOE) to support production infrastructure needs for data, analytics, and ML-based applications on AWS. While this is not an MLOps engineer role, familiarity with services like Sage Maker 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 Cloud Formation (IaC)
- Manage containerized applications using ECS and help optimize Sage Maker 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, troublehsooting as needed
- 5+ years of Dev Ops, Infrastructure, or Site Reliability Engineering experience in a cloud-native production environment
- Deep expertise with AWS services, particularly ECS, EC2, VPC, IAM, and Cloud Watch
- Experience managing ML-adjacent infrastructure, particularly AWS Sage Maker
- Strong background in infrastructure as code (Terraform, Cloud Formation)
- 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 Git Hub 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.
We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture, and all our employee s work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies.
EqualEmployment 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.
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
DisclaimerWe are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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