DevOps Engineer

Responsibilities

• Design, provision, and operate AWS infrastructure using Terraform and reusable modules
• Support AI/ML platform enablement with AgentCore infrastructure and governance controls
• Implement and operate containerized services with Docker and AWS ECS/Fargate
• Deploy and maintain Kubernetes infrastructure (AWS EKS) for data and analytics workloads
• Build and maintain CI/CD pipelines in GitHub Actions for infrastructure and applications
• Manage Databricks infrastructure on AWS including cluster configuration and workspace management
• Implement comprehensive monitoring, logging, and alerting using AWS CloudWatch
• Participate in production support and on-call responsibilities
• Coordinate with Information Security to maintain secure authentication and role-based access

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
• 4+ years of DevOps, SRE, or Cloud Engineering experience in production AWS environments
• Demonstrated experience owning Terraform-based infrastructure in production
• Proven experience building CI/CD pipelines in GitHub Actions
• Experience with Docker, AWS ECS/Fargate, and serverless services (Lambda, API Gateway)
• Experience implementing monitoring and alerting with CloudWatch
• Experience building or operating infrastructure for AI/ML workloads
• Strong understanding of cloud security fundamentals including IAM, encryption, and network segmentation

Preferred Qualifications

• Exposure to AI agent frameworks or LLM-based tooling (e.g., AWS Bedrock, LangChain)
• Experience with AWS EKS / Kubernetes deployment and operations
• Databricks experience and integration with cloud networking
• Experience with compliance automation tooling and SOC2 evidence collection
• Knowledge of data anonymization and privacy-preserving infrastructure patterns
• Experience with policy-as-code and guardrails (e.g., OPA, SCPs)

About the Company

Vytalize Health is a leading technology company in the healthcare industry, focused on building reliable systems for data and application platforms.