Cloud Infrastructure Engineer - AWS & Machine Learning SupportZelis Healthcare • United States

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Cloud Infrastructure Engineer - AWS & Machine Learning Support

Zelis Healthcare

United States

United States

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At Zelis, we Get Stuff Done. Join us in making a difference! About Us Zelis is revolutionizing the healthcare financial experience by delivering a connected platform that bridges gaps and aligns interests among payers, providers, and healthcare consumers. Serving over 750 payers, including the top 5 national health plans, we aim to identify, optimize, and solve systemic challenges using technology developed by healthcare experts, driving real and measurable results. About You You bring a unique blend of personality and professional skills that inspires others. Your career reflects your diverse experiences, community involvement, and the valuable lessons gained along the way. You embody more than a resume; your achievements, knowledge, and personal interests shape who you are. Position Overview We are seeking a dedicated Cloud Infrastructure Engineer to help us scale and enhance our cloud and automation environment within the Data Intelligence group. This role collaborates closely with the Cloud Center of Excellence (CCOE), focusing on infrastructure support for data, analytics, and machine learning applications on AWS. While not specifically an MLOps role, familiarity with ML services such as SageMaker and support for ML workflows from an infrastructure perspective are key aspects of the job. What You'll Do Construct and manage AWS infrastructure using Terraform or CloudFormation (Infrastructure as Code). Oversee containerized applications with ECS and optimize SageMaker infrastructure for ML teams. Design and enhance networking architecture, including VPCs, security groups, load balancers, and DNS. Maintain and refine CI/CD pipelines to facilitate automated testing, deployment, and rollback. Collaborate with engineering teams to improve deployment processes and reduce friction across environments. Implement infrastructure security measures and support compliance with standards like HIPAA and SOC2. Engage in reviews for cost optimization and system uptime monitoring while troubleshooting as necessary. Required Qualifications 5+ years of experience in DevOps, Infrastructure, or Site Reliability Engineering within cloud-native production environments. Extensive knowledge of AWS services, notably ECS, EC2, VPC, IAM, and CloudWatch. Experience managing infrastructure for ML tools, specifically AWS SageMaker. Strong skills in Infrastructure as Code using Terraform or CloudFormation. Proficient in scripting for deployment and automation using Python, Bash, or Ruby. Hands-on experience in creating secure, compliant cloud environments. Preferred Qualifications AWS Solutions Architect Associate or Professional certification. Experience in migrating legacy workloads to AWS. Familiarity with CI/CD tools like GitHub Actions or Jenkins. Understanding of how to support analytics and ML teams from an operations standpoint. What This Role Is Not This position does not focus on data science or MLOps roles, although you'll assist with ML infrastructure. This is not a strategic platform architect role. This is not about theoretical platform ownership; it’s a practical, engineering-driven role with a focus on 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 promote a hybrid and remote-friendly work culture, allowing flexibility based on the role's needs. In-office activities will vary depending on team objectives and company policies. Equal Employment Opportunity Zelis is an equal opportunity employer, and we value diversity. 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 law. We encourage applicants from all backgrounds to apply, even if they do not meet 100% of the qualifications for the role. Accessibility Support We are committed to making our application process accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and need reasonable accommodation during the application or interview process, please email TalentAcquisition@zelis.com. Disclaimer We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. The job responsibilities outlined are meant to illustrate the general nature and level of work performed by this role. This is not an exhaustive list of all duties and skills required.

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