Senior Platform Engineer

Location: Grand Rapids, MI preferred / Remote Experience: 7+ years Compensation: Competitive salary + meaningful equity

You're building the platform that makes AI agents trustworthy enough to operate in healthcare.

When 30+ AI agents operate autonomously — coordinating schedules, handling credentialing, working alongside clinicians — infrastructure is what makes the difference between "colleague" and "liability."

Observability isn't just for debugging code. It's for understanding agent behavior. Knowing when Holmes is drifting. Catching failures before patients do.

CI/CD that ships agent capabilities safely, not just code

Observability that tracks agent behavior, not just service health

Infrastructure that scales with agent count

Automation so humans aren't the bottleneck

Runbooks and incident response that let us sleep

This is infrastructure for agents to operate on. That changes what platform engineering means.

7+ years DevOps/SRE/Platform Engineering, cloud-native

Strong Python/Bash — you write code, not click consoles

Kubernetes, Docker, Terraform — IaC is how you think

Grafana, Prometheus, Jaeger, OpenTelemetry — you've built observability

AWS depth

Been paged, fixed it, made sure it never happened again

Healthcare, HIPAA, or SOC2 experience

AI/ML infrastructure (model serving, GPU clusters, vector DBs)

Opinions about what "agent observability" should mean

Been employee #1-10 somewhere

Pre-Series A. 12 engineers. Real equity. Build the platform that makes healthcare AI trustworthy.