Cloud Infrastructure Engineer – AWS & ML Tooling
Job Summary
Job Description
- 5+ years of DevOps/Infrastructure experience in cloud environment
- Deep expertise with AWS services like ECS, EC2, VPC, IAM
- Experience with AWS SageMaker infrastructure
- Strong background in Infrastructure as Code (Terraform, CloudFormation)
- AWS Solutions Architect Associate or Professional certification
- Experience migrating legacy workloads to AWS
- Familiarity with CI/CD tools like GitHub Actions or Jenkins
- Understanding of supporting analytics/ML teams
15 skills required
Job Details
At Zelis, we Get Stuff Done. So, let’s get to it!
A Little About Us
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.
A Little About You
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.
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 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.
What You’ll Do
- 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
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 (Terraform, CloudFormation)
- Comfortable writing deployment and automation scripts in Python, Bash, or Ruby
- Hands-on experience implementing secure, compliant cloud environments
Preferred
- 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
What This Role Is Not
- 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.
Location and Workplace Flexibility
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.
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 TalentAcquisition@zelis.com.
Disclaimer
We 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.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities, duties, and skills from time to time.
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