DevOps Engineer

clinicallyai; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Clinically AI is seeking a DevOps Engineer to own and evolve the platform's cloud infrastructure in a modern cloud-native environment. You will work on GCP, Kubernetes (GKE), CI/CD pipelines, and infrastructure automation to support browser extensions, mobile apps, backend services, and real-time AI processing.

You will collaborate with Backend, AI, Product, and Engineering leadership to design scalable, secure, and reliable deployments, with emphasis on observability, security, and cost

Qualifications

• 3+ years in DevOps, SRE, or Infrastructure Engineering in cloud-native environments.
• Terraform proficiency for provisioning, versioning, and management.
• Hands-on with production Kubernetes (GKE) environments.
• Experience writing, maintaining, and optimizing Helm charts.
• Strong Docker/containerization knowledge and microservices architecture.
• Experience building CI/CD pipelines, preferably GitHub Actions.
• Familiarity with GCP services (Cloud Run, Cloud Functions, GCS, Pub/Sub, IAM, Cloud SQL, Secrets Manager).
• Monitoring/observability tools such as Grafana, Prometheus, OpenTelemetry, or Google Cloud Monitoring.
• Understanding of security fundamentals and IAM, least-privilege, and zero-trust patterns.

Responsibilities

• Own and evolve cloud infrastructure on GCP with focus on GKE and secure multi-environment deployments.
• Maintain Infrastructure-as-Code using Terraform for reproducibility and automation.
• Develop and maintain Helm charts for consistent deployments, upgrades, and environment management.
• Improve CI/CD pipelines to support reliable deployments across staging, beta, and production.
• Partner with engineering and leadership to design scalable infra for services, AI pipelines, and high-throughput workloads.
• Implement comprehensive observability, alerts, metrics, tracing, and health checks.
• Drive infrastructure security practices and on-call readiness, incident response, and post-incident reviews.
• Collaborate with Backend, AI, and Product teams to support new features and data pipelines.

Skills

Terraform

GKE

Kubernetes

CI/CD

GitHub Actions

Docker

Helm

Observability

Security best practices

OpenTelemetry

Tools

Terraform

GKE

Kubernetes

Helm

GitHub Actions

Docker

Grafana

Prometheus

OpenTelemetry

Cloud Run

Cloud Functions

Cloud Storage

Job description

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.
• Optimizeinfraperformance, reliability, and cost while maintaining strong availabilityand 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.

What We’re Looking For

• You have strong experience building and operating modern cloud infrastructure and understand how to design secure, scalable, and reliable environments for production software.
• You are highly comfortable with Terraform and believe infrastructure should be reproducible, version-controlled, automated, and maintainable.
• You have hands-on experience with production Kubernetes environments, containerized applications, and the broader Kubernetes ecosystem.
• You understand how to build reliable CI/CD systems that allow engineering teams to move quickly without sacrificing stability, security, or quality.
• You think proactively about system health, monitoring, alerting, incident response, performance, and reliability rather than simply reacting when systems fail.
• You understand infrastructure security fundamentals and take ownership of the systems you operate. You are comfortable identifying problems, making decisions, and improving systems without needing constant direction.

Required Qualifications

• 3+ years of experience in DevOps, SRE, Infrastructure Engineering, or a related role in cloud-native environments.
• Strong experience with Terraform for provisioning, versioning, and managing cloud infrastructure.
• Hands‑on experience working with GKE or another production‑grade Kubernetes environment.
• Experience writing, maintaining, and optimizing Helm charts for application deployments.
• Strong understanding of Docker, containerization, microservices architecture, and the Kubernetes ecosystem.
• Experience building and maintaining CI/CD pipelines, ideally using GitHub Actions.
• Familiarity with GCP services including Cloud Run, Cloud Functions, GCS, Pub/Sub, IAM, Cloud SQL, and Secrets Manager.
• Strong understanding of monitoring and observability tools such as Grafana, Prometheus, OpenTelemetry, or Google Cloud Monitoring.
• Solid understanding of network…