Software Engineering Manager, Database (SmithDB)
Core
Lead the SmithDB team to build a storage and query layer for AI observability and evaluation, handling ingestion, query execution, and storage for trillions of agent traces.
Role type
Senior hands-on Engineering Manager (Systems/Database)
Builds
SmithDB, a distributed storage and query engine for AI agent observability data
Domain
AI Infrastructure / Systems Engineering / Database
Deliverable
production ML models | infrastructure
Required skills
Rust, database/storage engine internals, systems performance analysis, Kubernetes, cloud object storage, engineering management
Preferred skills
columnar storage formats, OLAP query engines, observability infrastructure, large-scale data scaling
Technologies
Rust, Kubernetes, S3, GCS, Azure Blob, Tokio, OpenTelemetry, ClickHouse, Prometheus
Responsibilities
Write and review production Rust code, lead architectural decisions on storage and query planning, drive performance investigations, design distributed deployment on Kubernetes, manage team health and hiring, own technical roadmap
Seniority
Senior, hands-on IC with management responsibilities