DevOps Engineer

Clinical Notes Inc.; Northern, San Diego (KY, CA); Hybrid; USD 125,000 - 160,000; Full time

Benefits offered by this job

Stock options

Unlimited PTO

Medical, dental, vision coverage

401(k) with company match

Job summary

Clinically AI is seeking a DevOps Engineer to own and evolve the infrastructure, deployment systems, and cloud environments powering our healthcare AI platform.

You will work with Backend Engineering, AI, Product, and Leadership to build scalable, secure infrastructure for browser extensions, mobile apps, backend services, AI pipelines, and data workflows.

Qualifications

• 3+ years in DevOps, SRE, or related roles in cloud-native environments.
• Strong Terraform experience for provisioning, versioning, and managing cloud infra.
• Hands-on experience with GKE or another production-grade Kubernetes environment.
• Experience writing, maintaining, and optimizing Helm charts.
• Strong understanding of CI/CD pipelines, preferably GitHub Actions.
• Familiarity with GCP services like Cloud Run, Cloud Functions, GCS, Pub/Sub, IAM, Cloud SQL, Secrets Manager.
• Strong observability knowledge with Grafana/Prometheus/OpenTelemetry.
• Networking fundamentals including DNS, load balancing, VPCs, and service meshes.
• Excellent communication and ownership in a fast-paced startup.

Responsibilities

• Design, build, and maintain cloud infrastructure on GCP focusing on GKE and secure multi-environment deployments.
• Build and maintain Infrastructure‑as‑Code with Terraform for reproducible, versioned infrastructure.
• Develop and maintain Helm charts for consistent deployments, upgrades, and environment management.
• Improve CI/CD pipelines with GitHub Actions for reliable staging, beta, and production deployments.
• Partner with engineering leadership to design scalable infra for new services and AI workloads.
• Implement observability across logging, metrics, tracing, alerting, and health checks.
• Drive security practices including secrets management and least-privilege IAM.
• Optimize performance, reliability, and cost while maintaining availability and security.
• Participate in on‑call rotations and post‑incident reviews to improve reliability.
• Collaborate with Backend, AI, and Product teams to support growing platform needs.

Skills

Cloud-native infra

Terraform

Kubernetes

Helm charts

CI/CD pipelines

GitHub Actions

Docker

Observability

Security best practices

On-call ownership

Tools

Terraform

Kubernetes

Docker

GitHub Actions

Helm

GKE

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.

• 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.

What We're Looking For

• Cloud‑Native Infrastructure

You have strong experience building and operating modern cloud infrastructure and understand how to design secure, scalable, and reliable environments for production software.

• Infrastructure as Code

You are highly comfortable with Terraform and believe infrastructure should be reproducible, version‑controlled, automated, and maintainable.

• Kubernetes & Containerization

You have hands‑on experience with production Kubernetes environments, containerized applications, and the broader Kubernetes ecosystem.

• Deployment & Automation

You understand how to build reliable CI/CD systems that allow engineering teams to move quickly without sacrificing stability, security, or quality.

• Reliability & Observability

You think proactively about system health, monitoring, alerting, incident response, performance, and reliability rather than simply reacting when systems fail.

• Security & Ownership

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 networking fundamentals including DNS, load balancing, VPCs, ingress/egress policies, and service meshes.

• Strong communication skills, ownership mindset, and comfort working in a fast‑paced startup environment.

Preferred Qualifications

• Experience with security and compliance frameworks such as HIPAA, SOC 2, NIST, or CIS Benchmarks.

• Experience supporting AI/ML infrastructure, GPU workloads, or high‑volume data pipelines.

• Experience optimizing cost, performance, and reliability in multi‑region or high‑availability cloud architectures.

• Familiarity with distributed tracing, log aggregation, and advanced observability patterns.

• Experience with feature flag systems, canary deployments, blue‑green deployments, or progressive delivery.

• Experience working in a fast‑scaling startup or high‑growth engineering organization.

Compensation & Benefits

Base salary: $125,000–$160,000 + equity

Actual compensation will depend on experience, scope, and overall alignment with the role.

We offer competitive compensation, stock options, unlimited PTO, medical, dental, and vision coverage, and a 401(k) with company match and Roth option.

Equal Employment Opportunity

Clinically AI provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, or any other characteristic protected by applicable law.