• Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. • Ensure reliability of multi-cloud Kubernetes clusters and pipelines. • Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. • Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers. • Automate operations and engineering. Focus on automation so we can spend energy where it matters. • Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.