We’re partnering with a fast-growing, Series A AI healthcare company that’s building a platform to help patients find the right care faster while enabling providers to operate more efficiently.

They’re now hiring a hands-on DevOps Engineer to help scale and strengthen the infrastructure behind a real-time, production-grade platform.

What You’ll Be Doing

Own and scale cloud infrastructure in GCP
Architect and manage Kubernetes (GKE) environments across dev, staging, and production
Build and optimize CI/CD pipelines for fast, reliable deployments
Improve system reliability through monitoring, alerting, and incident response
Strengthen security, IAM, and infrastructure governance
Partner closely with backend + AI teams to support real-time workloads

Tech Stack

What They’re Looking For

4–7+ years in DevOps, SRE, or Infrastructure Engineering
Strong hands-on experience with GCP + Kubernetes
Deep experience with Terraform / Infrastructure as Code
Experience building and maintaining CI/CD pipelines
Solid understanding of networking, IAM, and cloud security

Bonus:

Experience with Bazel / monorepos
Exposure to AI/ML infrastructure or real-time systems
Startup or high-growth environment experience
HIPAA / SOC2 familiarity

Why This Role

High ownership you’re shaping the infrastructure, not just maintaining it
Real impact platform directly improves access to healthcare
Fast-growing team strong trajectory with real product-market fit
Opportunity to work at the intersection of AI + healthcare + scale

High Trail

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