Senior DevOps Engineer – AI-Native Healthcare Platform

## About the role You'll own the infrastructure that everything depends on Not just uptime—but: - Systems that scale unpredictably. - Deployments that are fast and safe. - Failures that are handled before they escalate. ## Responsibilities ### Cloud & Systems - Design and run scalable infrastructure on AWS (or similar). - Support multi-tenant, high-throughput SaaS environments. ### CI/CD & Automation - Build and improve CI/CD pipelines (GitHub Actions, GitLab, Jenkins). - Automate build, test, and deployment workflows. ### Containers & Orchestration - Work with Docker and Kubernetes for deployment and scaling. - Ensure system stability under load. ### Observability & Reliability - Implement monitoring, logging, and alerting (Prometheus, Grafana, ELK). - Diagnose and resolve production issues. ### AI-Native Infrastructure - Support AI workloads (low latency, high concurrency). - Enable reliable deployment of AI-powered services. ### Infrastructure as Code - Use Terraform / CloudFormation. - Build reproducible, version-controlled infrastructure. ### Security & Compliance - Implement secure infrastructure practices. - Ensure healthcare-grade reliability and compliance. ## Requirements - Strong hands-on experience with AWS (or Azure/GCP), Docker, Kubernetes - Experience running production SaaS systems at scale - CI/CD, observability, and incident response experience - Infrastructure as Code (Terraform, etc.) + scripting (Python/Shell) - Understanding of distributed systems and system reliability - Exposure to AI/data workloads is a plus. ## What we offer - Own infrastructure that directly impacts real-world care delivery - Work on AI-native systems at scale - High ownership, real problems, no busywork ## About the company - Predictable infrastructure work → not this - Ticket-based ops → not this