We’re looking for a Database Systems Engineer who thrives at the frontier of distributed databases, storage engines, transactional systems, and analytical query execution.
Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención.
Database Systems Engineer — Distributed Storage & Transactional Query Engines
Role Summary
FastS3 is building AI-native data infrastructure from the ground up. We are looking for an engineer to help design the database layer that sits above PixelDB, our distributed key/value object storage engine, and works with TEMPANO, our custom Iceberg catalog and compaction API.
This role is not about building a conventional application database, a Postgres extension, or a simple lakehouse connector. It is about helping design the foundation for a system that can support transactional, analytical, and vector workloads over the same live data layer.
You’ll work closely with engineering leadership to prototype and build the core components of a distributed table engine: commit logs, MVCC, stable Row IDs, secondary indexes, snapshot publication, compaction, query execution, and integration with Iceberg-style table metadata.
What You’ll Be Doing
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- Design and prototype a transactional table engine on top of PixelDB.
- Work on MVCC, commit logs, transaction visibility, snapshot isolation, and serializable consistency.
- Design stable Row ID abstractions so indexes point to logical rows rather than physical storage locations.
- Build metadata and manifest flows that connect live transactional writes to TEMPANO and Iceberg-compatible analytical snapshots.
- Help design compaction, version cleanup, and garbage collection that do not block long-running analytical queries.
- Explore query execution paths for point reads, range scans, analytical scans, joins, and vector retrieval.
- Work on distributed storage layout, partitioning, object plac
📌 Database Systems Engineer Madrid-Hybrid Engineering
🏢 FastS3
📍 Madrid