Own reliability, deployments, observability, and incident response across our AWS environment (Kubernetes/EKS, Datadog, CI/CD, networking), supporting backend, mobile, data, ML, and AI engineering teams. Build and extend our internal AI infrastructure: the gateway/middleware layer, MCP integrations, the knowledge graph, and tooling that makes AI use across engineering cheaper, faster, and more accurate.