E2bSan Francisco, CABuilds backend infrastructure and core platform for AI agent cloud, including VM hypervisors, LLM sandboxes, networking, and orchestration. Requires 5+ years in distributed systems and Linux administration for onsite role in San Francisco.
Platform Engineer building and scaling data ingestion, storage, search, and deployment infrastructure across commercial, FedRAMP High, and IL5 environments. Requires 5+ years in backend/platform/infra roles with deep experience in Postgres, Kubernetes, and TypeScript/Python.
Design end-to-end datacenter network architectures for AI training and inference workloads. Own topology selection, fabric design, physical infrastructure integration, and produce deployable HLDs/LLDs across multiple GPU platforms and customer requirements.
As a Senior Developer Productivity Engineer, you will own the build, test, and deployment processes for a 50+ person engineering team. You will improve monorepo productivity, drive excellence in testing, and support multi-cloud/multi-region infrastructure to enable fast and safe shipping.
Design and own high-performance data center network infrastructure for GPU clusters, including fabric architecture, cabling, and performance validation. Requires deep experience with InfiniBand, RDMA, or high-performance Ethernet at a senior level.
Builds and operates scalable observability platforms for metrics, logs, traces across GPU, HPC infrastructure. Designs telemetry pipelines, alerting, and multi-tenant systems using Prometheus, Grafana, Kafka; requires 5+ years SRE/infra experience.