Platform Engineer — Core Infrastructure

Own and operate production infrastructure across multiple GKE clusters supporting both real-time video workloads and AI agent pipelines — with HA, autoscaling, and full observability tuned to the demands of each.

Manage GitOps workflows using Argo CD for automated, version-controlled, and auditable deployments across both product lines.

Maintain and optimize monitoring & alerting stacks using Open Source Monitoring Tools — with product-specific SLOs for low-latency video (jitter, packet loss, stream health) and AI workflow reliability (task throughput, failure rates, retry queues).

Implement infrastructure as code using Terraform for GCP resources and helm chart for Kubernetes manifests, with a strong bias toward repeatability and auditability.

Support the unique infrastructure demands of real-time video — including media server scaling, WebRTC infrastructure, low-latency networking, and high-throughput data paths.

Support AI agent workloads — including LLM inference infrastructure, async task queues, and integration pipelines with external healthcare systems.

Lead or support incident response, cluster upgrades, and disaster recovery procedures across both platforms.

Own the security posture of our infrastructure — enforce least-privilege access controls, manage secrets hygiene, and drive security hardening across clusters and services.

Implement and maintain compliance-aligned controls relevant to healthcare data environments (e.g., encryption at rest/in transit, audit logging, network segmentation).

Collaborate with product and engineering teams to embed security early in the development lifecycle — shift-left on vulnerability scanning, dependency audits, and policy enforcement.