Cloud-Native DevOps Engineer — Terraform, Kubernetes, CI/CD

Clinically AI; San Diego (CA); On-site; USD 125,000 - 160,000; Full time

Job summary

Clinically AI is seeking a DevOps Engineer to own and evolve the infrastructure, deployment systems, and cloud environments powering our product platform. This is a hands-on role in cloud-native environments, collaborating with Backend, AI, Product, and leadership to maintain infrastructure for services, data pipelines, and customer-facing apps.

You’ll work across GCP, Terraform, Helm, Kubernetes, CI/CD, and observability with strong ownership.

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.

Responsibilities

• 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.

Skills

Cloud-Native Infrastructure

Infrastructure as Code

Kubernetes & Containerization

Deployment & Automation

Reliability & Observability

Security & Ownership

Tools

Terraform

GKE

GitHub Actions

Helm

Docker

Grafana

Prometheus

OpenTelemetry

Job description

Clinically AI is seeking a DevOps Engineer to own and evolve the infrastructure, deployment systems, and cloud environments powering our product platform. This is a hands-on role in cloud-native environments, collaborating with Backend, AI, Product, and leadership to maintain infrastructure for services, data pipelines, and customer-facing apps.

You’ll work across GCP, Terraform, Helm, Kubernetes, CI/CD, and observability with strong ownership.