Teams at RapidAI

Own production EKS cluster availability, performance, observability, and incident response. Define SLOs, SLIs, and error budgets; lead post-mortems; and maintain blameless reliability practices. Build infrastructure using Terraform, Helm, and GitOps, while partnering with engineering on capacity planning, load testing, and chaos engineering. Optimize AWS autoscaling, networking, and costs, participate in on-call rotations, and resolve underlying causes of incidents.

Lead the design and development of scalable, resilient, secure, and observable software platforms using Golang, microservices, automation, and DevOps practices. Define architecture models and roadmaps, create reusable libraries and utilities, oversee engineering solutions, troubleshoot distributed systems, and guide multiple Scrum teams. Collaborate with technical and non-technical stakeholders to align engineering work with business and product objectives. This individual contributor role has no direct reports.

Design, develop, and optimize ETL pipelines and repositories for large-scale medical imaging (CT, MRI). Integrate with PACS/XNAT, extract and standardize DICOM/HL7/FHIR metadata, implement automated labeling/segmentation, and optimize AWS storage and retrieval for high-performance clinical applications.