ashby
DevOps Engineer
Clinically AI
San Diego, USA
Full-time
Mid · 3+ years experience
Onsite
USD 125000-160000 yearly / year
Discovered 1 weeks ago
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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.
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