Cloud Infrastructure Engineer - AWS & ML Tooling

At Zelis, we Get Stuff Done. So, let’s get to it!

Zelis is modernizing the healthcare financial experience for all by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self‑insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts‑driving real, measurable results for clients.

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you’ve learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

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, troubleshooting 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.

Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race,…