O pozici
Feldera is redefining how engineers compute over changing data. Powered by an award-winning breakthrough in database theory (DBSP), our platform incrementally maintains even the most complex SQL views as data changes, even when pipelines have hundreds of joins, aggregates, unions, and even recursion. It has allowed leading enterprises to have always-on real-time insights over both live and historical data, with 10x lower cost and 100x faster time-to-production.
In this role, you’ll focus on our secure, scalable, production-grade self-hosted platform; one that customers deploy on their own infrastructure, from laptops to multi-node clusters.
Co budeš dělat
- Connector engineering: Own and evolve Feldera's input and output connectors for data lakes (Delta Lake, Iceberg), streaming systems (Kafka and the broader Kafka ecosystem), and databases (Postgres and other OLTP/OLAP stores).
- Change data capture: Build robust CDC ingestion that turns upstream changes into correct, ordered, and consistent change streams into Feldera pipelines.
- Connector framework: Design and improve the shared abstractions, APIs, and tooling that make authoring, testing, and operating connectors fast and consistent.
- Formats & protocols: Work at the level of table formats (Parquet, Delta, Iceberg metadata), serialization formats (Avro, JSON, Protobuf), and wire protocols to integrate cleanly and efficiently with each system.
- Correctness & fault-tolerance: Ensure connectors are reliable and operate without data loss or duplication beyond stated guarantees.
- Performance: Push connector throughput and latency to keep pace with demanding production workloads.
- Troubleshooting: Debug complex distributed systems issues spanning Feldera and external systems in customer environments.
Koho hledáme
- Strong proficiency in Rust, or strong systems-programming experience in a comparable language (C++, Go, Java/Scala) with a demonstrated ability to ramp quickly on Rust.
- Experience building data integrations, connectors, or pipelines in production — moving data between storage systems, streaming platforms, or databases.
- Hands-on experience with one or more of: Kafka, Delta Lake, Iceberg, Postgres, or comparable streaming/lakehouse/database systems.
- Working knowledge of data serialization and table formats (e.g. Avro, Protobuf, JSON, Parquet).
- Understanding of distributed-systems fundamentals: delivery semantics, ordering, checkpointing, and fault recovery.
- Strong troubleshooting skills and the ability to debug complex issues across system boundaries.
- Self-directed with excellent communication skills and the ability to work effectively in a remote team.
Benefity
- Competitive salary & meaningful equity
- Medical, dental & vision - 90% of premiums covered by Feldera
- HSA & FSA
- 401(k)
- Fully remote
