DevOps Engineer

Overview

At N1.Healthcare, we are transforming how individuals understand and manage their health. We are looking for a skilled AI Engineer to join our fast-growing team and help drive the development of intelligent, healthcare-focused systems—from advanced diagnostic insights to real-time health analytics.

Responsibilities

• Architect High-Availability Infrastructure : Design, implement, and automate a sophisticated, multi-cloud infrastructure across Amazon Web Services (AWS) and Google Cloud Platform (GCP). You will leverage services such as AWS EC2, S3, RDS, and GCP Compute Engine, GKE, and Cloud SQL to build a foundation that ensures our AI-powered healthcare solutions are delivered with maximum speed, reliability, and security.
• Implement Proactive Monitoring and Security : Establish and manage a comprehensive monitoring and observability strategy using tools like Datadog, Prometheus, and Grafana. Your objective is to predict, detect, and neutralize system issues and security threats. You will implement security best practices and tooling (e.g., Falco, Trivy, AWS GuardDuty) to safeguard sensitive patient data and maintain clinical-grade security at every layer of the technology stack.
• Drive End-to-End Automation : Engineer and maintain robust CI / CD pipelines and Infrastructure-as-Code (IaC) frameworks. You will utilize leading technologies such as Terraform, Kubernetes (K8s), and GitHub Actions to empower our development teams to innovate and deploy rapidly without compromising system stability or security.
• Champion Operational Excellence : Lead incident response and resolution efforts, utilizing platforms like PagerDuty and Datadog. Conduct rigorous, blameless postmortems to identify root causes and drive preventative measures. You will collaborate closely with development teams through platforms like GitHub, Clickup and n8n to establish a feedback loop that fosters self-healing systems and continuous improvement.
• Engineer for Scalability and Performance : Design, test, and refine systems architected to support thousands of concurrent users and services. This includes implementing auto-scaling strategies and conducting performance analysis with load testing tools such as K6 to guarantee flawless performance, data integrity, and clinical safety at scale.
• Pioneer Advanced MLOps and AI Infrastructure : Go beyond basic model deployment. Engineer a sophisticated MLOps ecosystem to manage the complete lifecycle of our machine learning models. This includes building CI / CD pipelines for model training and validation, implementing advanced monitoring to detect data and concept drift, and developing frameworks for A / B testing and canary rollouts of new model versions. You will architect secure, high-throughput gateways for interacting with third-party LLM APIs from OpenAI, Anthropic, and Google Cloud\'s Vertex AI , focusing on cost optimization, caching strategies, and mitigating risks like prompt injection.
• Lead Technical Innovation and Optimization : Continuously evaluate and integrate emerging technologies to enhance our platform. Your responsibilities will range from hardening Linux operating systems to deploying advanced containerization solutions like Docker and Podman , and exploring service mesh technologies such as Istio to optimize our service-oriented architecture.

Core Qualifications and Experience

Soft Skills

Preferred Qualifications

Why Join N1.Healthcare?

Join a team that\'s redefining how people access, understand, and improve their health through the power of AI.

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