DevOps Engineer

About the role

About Clinically AI

Clinically AI is a rapidly scaling healthcare AI company transforming how behavioral health and healthcare organizations manage clinical documentation, compliance workflows, chart auditing, and operational efficiency through artificial intelligence.

Our platform helps clinicians, compliance teams, administrators, and healthcare organizations reduce administrative burden, improve documentation quality, strengthen audit readiness, and operate more efficiently. We operate at the intersection of AI, healthcare operations, workflow design, and real-world clinical execution, where security, reliability, scalability, and performance matter.

The Opportunity

We are seeking a DevOps Engineer to own and evolve the infrastructure, deployment systems, and cloud environments that power Clinically AI's product platform.

This is a hands-on engineering role for someone who thrives in modern cloud-native environments and enjoys solving complex infrastructure, reliability, security, and deployment challenges. You will work closely with Backend Engineering, AI, Product, and Engineering leadership to build and maintain the infrastructure that supports browser extensions, mobile applications, backend services, real-time AI processing, data pipelines, and customer-facing applications.

You should be comfortable operating with significant ownership and autonomy across GCP, Terraform, Helm, Kubernetes, CI/CD, observability, and containerized architectures. As we scale, you will have the opportunity to influence infrastructure strategy, deployment practices, security standards, and engineering culture.

What You'll Own

- Design, build, and maintain cloud infrastructure on GCP, with a focus on GKE, container orchestration, and secure multi-environment deployments.

- Build and maintain Infrastructure-as-Code using Terraform to ensure infrastructure is reproducible, versioned, and automated.

- Develop and maintain Helm charts for consistent service deployments, upgrades, rollbacks, and environment management.

- Improve and optimize CI/CD pipelines using GitHub Actions to support reliable deployments across staging, beta, and production.

- Partner with engineering leadership to design scalable infrastructure for new services, AI pipelines, and high-throughput workloads.

- Implement robust observability across logging, metrics, tracing, alerting, and system health.

- Drive infrastructure security best practices, including secrets management, least-privilege IAM, zero-trust patterns, and compliance alignment.

- Optimize infrastructure performance, reliability, and cost while maintaining strong availability and security requirements.

- Participate in on-call rotations, incident response, and post-incident reviews to continuously improve platform reliability.

- Partner closely with Backend, AI, and Product teams to support new features, data pipelines, and infrastructure requirements as the platform grows.