---
title: 'DevOps Engineer at Clinically AI'
canonical: 'https://feeny.ai/job/devops-engineer-clinically-ai-san-diego-xvnj3njy2mzd'
type: 'job'
last_seen: '2026-09-06'
---

# DevOps Engineer at Clinically AI

- **Company:** Clinically AI
- **Location:** San Diego, CA
- **Employment:** full-time
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/clinicallyai/358ee089-8161-493c-b38c-9b4f386d62d8

## 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.

## About Clinically AI

## Company Overview
- **One-liner**: Clinically AI provides an AI-powered platform for behavioral health organizations to automate clinical documentation, ensure compliance, and reduce administrative burden.
- **Entity Type**: Private (Startup)
- **Headquarters**: San Diego, California, United States
- **Founded**: 2023
- **Founders**: Ross Young (CEO) and Elijah Lipsky (CTO)

## Core Business
- **Primary industry**: Healthcare IT / Behavioral Health Technology
- **Target customers**: B2B; behavioral health organizations including private practices, group practices, and multi-state networks; clinicians, case managers, and compliance teams.
- **Mission or purpose statement**: To support clinicians by using AI to reduce administrative burden, minimize compliance risk, and help care teams spend more time with people—not in clicks. The company believes in "augmented intelligence, not artificial replacement."

## Products & Services
- **Clinical Notes AI**: An AI-powered documentation tool that generates accurate, individualized clinical notes in seconds. It is "Chart-Aware," meaning it understands the longitudinal client record and documents in context. It aligns with service lines, treatment plans, and client goals.
- **Comply**: A real-time chart auditing tool that aligns with an organization's best practices and regulations to provide chart quality metrics and catch issues before they become problems.
- **Front Door**: A referral support tool for program placement and summarization (currently in beta).
- **Supervise**: A supervision tool with insights for supervising staff and associates (coming soon).

## Market Standing
- **Valuation/Market Cap**: Not publicly available.
- **Key Metric**: Total Funding – Not publicly available. The company is privately held and has not disclosed funding rounds.
- **Notable Investors/Partners**: Not publicly disclosed. The company lists "Technology Partners" on its website but does not name specific investors.
- **Growth Signals**: The company has grown from 13 to 21 employees (+40% YoY) as of mid-2026. It has a LinkedIn following of 3,465 (+79.3% yearly growth). It is used by "thousands of clinicians nationwide." The company reports a 60-80% reduction in documentation time and a 40% reduction in payer reviews for level of care placement.

## Competitive Advantages
- **Purpose-built for behavioral health**: Unlike general AI scribes, Clinically AI is designed specifically for the workflows, regulations (e.g., FERPA, HIPAA), and service lines of behavioral health and integrated care.
- **EHR agnostic**: The platform integrates with any web-based EHR, allowing organizations to keep their existing systems.
- **Ethics-first, clinician-centered AI**: The company emphasizes "augmented intelligence" and that clinical judgment directs the AI, not the other way around. They offer zero data retention options and are SOC 2 certified.
- **Chart-aware AI**: The AI understands the full longitudinal client record, not just a single session, leading to more accurate and contextual documentation.

## Strategic Focus
- **Scaling the platform**: The company is actively hiring across engineering, product, sales, and clinical informatics to support growth.
- **Expanding product suite**: Moving beyond notes into compliance, referral management, and supervision tools.
- **Deepening EHR integrations**: Ensuring seamless integration with the leading EHR platforms used in behavioral health.
- **Building for enterprise**: Offering solutions for solo practitioners, group practices, and large multi-state networks.

## Why Work Here
- **Culture**: The company describes itself as a team of "creatives, clinicians, product thinkers, engineers, and behavioral health advocates." They value mission-driven work, transparency, and ethical technology. They are "allergic to buzzwords."
- **Remote-first**: The company is fully remote, with team members distributed across the US and Spain. They emphasize "Work Anywhere. Impact Everywhere."
- **Impact**: Employees work on tools that directly support clinicians doing "some of the hardest, most human work there is." The company is focused on solving real problems in behavioral health.
- **Growth**: As an early-stage company, there is room for employees to grow professionally and personally as the company scales.
- **Diversity & Inclusion**: Clinically AI is an equal opportunity employer committed to building a team that reflects the diversity of the communities they serve.

## Sources
1. [clinicalnotes.ai](https://www.clinicalnotes.ai/index.html)
2. [clinicalnotes.ai - Careers](https://www.clinicalnotes.ai/about/careers.html)
3. [LinkedIn - Clinically AI](https://www.linkedin.com/company/clinically-ai-1)
4. [clinicalnotes.ai - Executive Team](https://www.clinicalnotes.ai/about/meet-our-executive-team.html)
5. [clinicalnotes.ai - Careers (alt)](https://www.clinicalnotes.ai/1moved-careers.html)

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