DevOps Engineer

Medclinicx; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Med Clinic X is a healthcare technology company building modern cloud-native and AI-powered systems that support healthcare organizations across the United States. The company develops healthcare SaaS platforms, patient portals, AI-driven healthcare systems, telemedicine solutions, automation workflows, and scalable digital health infrastructure.

We are seeking a DevOps Engineer to design, build, and maintain scalable infrastructure and automation systems for healthcare SaaS and digital health

Qualifications

• Experience designing and maintaining scalable CI/CD pipelines.
• Hands-on with Docker and Kubernetes in production environments.
• Familiarity with cloud providers (AWS/Azure/GCP) and IaC (Terraform).
• Experience with monitoring/observability stacks (Prometheus, Grafana).
• Knowledge of HIPAA considerations for healthcare platforms.

Responsibilities

• Build and maintain secure CI/CD pipelines for healthcare SaaS.
• Design and operate scalable cloud infrastructure and automation.
• Ensure high availability and performance of telemedicine and SaaS engines.
• Implement security controls, secret rotation, and access policies.

Skills

CI/CD

Docker

Kubernetes

Cloud platforms

Terraform

Monitoring

Education

Bachelor's degree in CS/SE

Tools

Prometheus

Grafana

Tracing

Job description

Med Clinic X is a healthcare technology company building modern cloud-native and AI-powered systems that support healthcare organizations across the United States.

We develop healthcare SaaS platforms, patient portals, AI-driven healthcare systems, telemedicine solutions, automation workflows, and scalable digital health infrastructure for clinics, hospitals, and healthcare providers.

Our mission is to build secure, reliable, and automated infrastructure that powers the next generation of healthcare technology.

Job Overview

We are seeking a DevOps Engineer to design, build, and maintain scalable infrastructure and automation systems for healthcare SaaS and digital health platforms.

In this role, you will be responsible for CI/CD pipelines, cloud infrastructure, deployment automation, system reliability, and performance optimization of healthcare applications used across the United States.

You will collaborate with engineering, cloud, and AI teams to ensure smooth deployment and operation of mission-critical healthcare systems.

Responsibilities

CI/CD & Automation

• Build and maintain secure CI/CD pipelines.
• Optimize microservice release iterations.
• Implement progressive rollouts and rollback triggers.
• Manage cloud networks in AWS, Azure, or GCP.
• Support Docker and Kubernetes platforms.
• Optimize infrastructure cost and throughput metrics.

SRE & Monitoring

• Ensure high availability of telemedicine/SaaS engines.
• Deploy Prometheus, Grafana, and tracing tools.
• Audit system bottlenecks and debug microservice lags.
• Configure alerting policies for pager alerts.

Security & Compliance

• Design secure networks complying with HIPAA.
• Audit platform vulnerabilities and Docker configurations.
• Deploy automated secret and credential rotations.
• Maintain identity bounds and access permissions.

Why Join Med Clinic X?

At Med Clinic X, you will build and maintain infrastructure that powers modern healthcare systems. You will:

• Automate deployment of healthcare SaaS platforms
• Support AI and data-driven healthcare systems
• Improve reliability of critical healthcare applications
• Work with modern cloud-native technologies

Technical Core

CI/CD & Deployment Automation Docker & Kubernetes Orchestration Infrastructure as Code (Terraform) AWS, Azure, or GCP Cloud Environments Prometheus, Grafana, & Alerting HIPAA Compliance & Identity Controls

Key Systems Involved

Automate reliable multi-tenant deployments and microservice rollouts.

Cloud infrastructure systems

Manage highly available Kubernetes node groups and VPC architectures.

Coordinate MLOps tooling and pipeline run automation for model training.

Optimize logging, monitoring, and tracing to detect and repair call drops.

EHR/EMR integrations

Maintain data pipeline connectivity health and webhook listener systems.