Senior Site Reliability Engineer
rapidai
Bangalore, India
Posted Aug 25, 2026
- Full-time
Job description
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