Staff Software Engineer (Data Infrastructure)

Join our fast-growing AI product company as a Staff Software Engineer (Data Infrastructure). You'll be responsible for building the next generation of our data systems, evolving our current architecture into best-practice data architecture, and working closely with the product and engineering teams. This role can be based in San Francisco or Cambridge, and offers meaningful early equity, health insurance, 3 weeks of PTO, and other perks.

Missions

• Concevoir et mettre en œuvre des architectures de données évolutives, y compris la capture des modifications, la modélisation des événements et la conception des schémas.
• Évoluer le modèle de données flexible et en forme de graphe pour garantir des performances de requête rapides à mesure que la taille et la complexité augmentent.
• Établir la direction technique, les abstractions, les frontières de propriété et les pratiques d'ingénierie pour les systèmes de données à mesure que l'entreprise se développe.

Profil recherché

- Strong software engineering fundamentals

- Good judgment about when to make a tactical fix and when to invest in a more durable platform or architecture change

- Product orientation: you care about how data infrastructure decisions affect customers, users, and engineering velocity

- 7+ years experience

- Experience owning production data systems where query plans, replication lag, backfills, data freshness, schema evolution, or data correctness had real user-facing consequences

- Comfort debugging across multiple layers of the stack

- ClickHouse, OLAP systems, event pipelines, data warehouses, or analytical infrastructure

- Postgres at scale, and the boundary between OLTP and OLAP systems

- Kafka, Flink, Spark, Iceberg, or similar streaming and lakehouse systems

- APIs, queues, workflow systems, and distributed systems

- Observability, incident response, service ownership, and production debugging

- Data for ML/AI systems: enrichment pipelines, eval harnesses, or data-quality tooling

- Experience in a high-growth product environment