### Role Overview

Join **AgentAI** as a **Senior AI-Native DevOps Engineer** and play a pivotal role in transforming healthcare operations through AI-driven automation. You will be instrumental in modernizing revenue cycle management and medical billing by building scalable cloud infrastructure and AI-powered systems. This infrastructure-first role emphasizes AWS, Terraform, and containerized deployments, working closely with application engineers to deliver reliable, secure, and scalable systems.

#### Responsibilities

- Design, build, and maintain production infrastructure on AWS.
- Manage Infrastructure as Code using Terraform.
- Deploy and operate containerized applications using Docker and AWS ECS/Fargate.
- Build and maintain CI/CD pipelines for infrastructure and application deployments.
- Manage ECR repositories, ECS task definitions, ECS services, and Application Load Balancers.
- Implement secure infrastructure patterns using IAM, Security Groups, private networking, and Secrets Manager.
- Collaborate with backend engineers to deploy and support Python/Django services.
- Monitor platform health, troubleshoot production issues, and improve reliability.
- Optimize infrastructure for scalability, performance, and cost efficiency.
- Use AI-assisted development tools to automate infrastructure tasks while validating generated solutions.

#### Required Skills

- 5+ years of experience in DevOps, Platform Engineering, Cloud Infrastructure, or Site Reliability Engineering.
- Strong production experience with AWS, particularly ECS/Fargate.
- Deep expertise with Terraform and Infrastructure as Code.
- Hands-on experience with Docker and containerized deployments.
- Experience designing and maintaining CI/CD pipelines (GitHub Actions or equivalent).
- Strong understanding of cloud networking, IAM, Security Groups, and infrastructure security best practices.
- Experience deploying applications behind Application Load Balancers.
- Familiarity with AWS Secrets Manager or Parameter Store for secure configuration management.
- Ability to understand application architecture and effectively support Python/Django services.
- Experience working in startup or high-growth environments.

#### Nice to Have

- Python scripting experience.
- Experience supporting Django applications in production.
- PostgreSQL administration or optimization.
- CloudFront, Route 53, or S3 static asset hosting.
- Blue-green or zero-downtime deployment strategies.
- Experience in healthcare technology or HIPAA-regulated environments.

### AI-Native Engineering

AI-assisted development is fundamental to our approach. We seek candidates who actively use tools such as Cursor, Claude Code, GitHub Copilot, Windsurf, or similar platforms. Effective prompting of AI, validation of generated infrastructure code, and maintaining production-quality standards are key expectations.