RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare.
What You Do:
Own the availability, performance, and incident response for Rapid's production EKS clusters
Design and operate the full observability stack — metrics, logs, traces — with
Open Telemetry as the foundation
Define and track SLOs/SLIs/error budgets; lead post-mortems and drive blameless culture
Build and maintain infrastructure-as-code using Terraform, Helm, and GitOps patterns
Partner with engineering to bake reliability in early — capacity planning, load testing, chaos engineering
Tune autoscaling, networking, and cost efficiency across AWS workloads
On-call rotation with the expectation you'll also fix the underlying cause, not just the alert
What We Looking For:
10+ years in SRE, DevOps, or infrastructure engineering roles
Deep AWS expertise — EKS, EC2, VPC, IAM, RDS, S3, CloudWatch, and the
surrounding ecosystem
Production Kubernetes experience at scale: multi-cluster, multi-tenant, real traffic
Hands-on Open Telemetry instrumentation and pipeline ownership (collectors, exporters, backends)
Strong foundation in Linux, networking, and distributed systems fundamentals
Experience with observability platforms (Prometheus, Grafana, Jaeger, or equivalents)
Comfortable writing automation in Go, Python, or Bash — you reach for code when the GUI runs out
Startup mindset: you make decisions with incomplete information and iterate quickly
