Zelis
Lead Cloud Platform DevOps Engineer
US GA Atlanta
Sponsorship not specifiedDetected 11 days ago
PowerShellCode ReviewGitAWSAzureCloud PlatformsDockerKubernetesAnsibleCI/CDGitHub ActionsDevOpsPlatform EngineeringMachine LearningCybersecurityIncident ResponseAccessibilityLeadershipCommunicationCollaborationMentoringPipeline IntegrityArgo CD
About the role
- At Zelis, AI is woven into the fabric of how we work.
- 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.
Responsibilities
- Architect, build, and maintain scalable platform solutions using AWS services with a strong focus on EKS and containerization.
- Design and implement Infrastructure as Code (IaC) using AWS CDK, enabling fully automated and repeatable cloud provisioning.
- Design and maintain golden paths and reusable platform building blocks (IaC modules, pipeline templates, and starter repositories) that give teams a secure, production-ready foundation by default.
- Treat the platform as a product, reducing developer cognitive load and removing friction across build, test, and deployment workflows.
- Develop and maintain robust CI/CD pipelines using GitHub Actions, leveraging YAML and PowerShell scripting to drive automation.
- Manage and maintain GitHub repositories, branching strategies, pull requests, and release workflows.
- Deploy, manage, and optimize workloads across AWS and Azure, including Windows Services and.NET-based applications.
- Partner with application teams to migrate workloads from on-premises to the cloud, driving modernization through replatforming, containerization, and adoption of managed cloud services.
- Implement and enforce cloud security best practices, including secure networking, IAM, secret management, and compliance controls.
- Drive DevOps automation best practices, improving deployment reliability, observability, and operational efficiency.
Requirements
- Required Skills & Experience
- Strong hands-on experience with AWS core services, including EKS, IAM, VPC, EC2, and related managed services.
- Proven experience with container technologies (Docker, Kubernetes) in production environments.
- Experience with GitHub repository management, branching strategies, and DevOps workflows.
- Hands-on experience with JFrog Artifactory for artifact lifecycle management and container registries.
- Strong experience with Ansible for infrastructure automation and configuration management.
- A Little About You You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication.
Nice to have
- Exposure to AI/ML platform services and developer productivity tools.
- Strong troubleshooting, performance optimization, and monitoring expertise.
- Experience with GitOps and progressive delivery tools such as Argo CD and Helm.
- Experience with FinOps and cloud cost management.
- In-office work and activities vary based on work and team objectives in accordance with Company policies.
- Equal Employment Opportunity
- Zelis is proud to be an equal opportunity employer.
- We welcome applicants from all backgrounds and encourage you to apply even if you don't meet 100% of the qualifications for the role.
Equal opportunity
- 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 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.
Visa & Work Authorization
- Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future.
This listing is sourced directly from Zelis's careers page and normalized into a canonical job model.