ExaSan Francisco, CABuilds and operates large-scale infrastructure including GPU clusters, Kubernetes orchestration, AWS batch jobs, and observability tooling to power AI search systems. Requires experience with massive-scale systems and focus on reliability and optimization.
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.