Feldera

• 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). • Build robust CDC ingestion that turns upstream changes into correct, ordered, and consistent change streams into Feldera pipelines. • Design and improve the shared abstractions, APIs, and tooling that make authoring, testing, and operating connectors fast and consistent. • 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. • Ensure connectors are reliable and operate without data loss or duplication beyond stated guarantees. • Push connector throughput and latency to keep pace with demanding production workloads. • Debug complex distributed systems issues spanning Feldera and external systems in customer environments.

• Control plane engineering: Own and evolve the control-plane services that orchestrate pipelines across diverse customer environments. • Kubernetes platform: evolve the Kubernetes layer that runs Feldera pipelines reliably, including resource management and self-hosted deployment workflows. • Enterprise readiness: Build and harden capabilities to support security, isolation, and access-control needs of large enterprises. • Cloud & self-hosted deployment: Develop the capabilities that let customers run Feldera across environments, from single-node laptops to multi-node clusters, on their own infrastructure. • API design: Design clean, stable, well-documented APIs for the control plane that internal teams and customers build workflows against. • Reliability & operability: Make the control plane observable, debuggable, and resilient at scale. • Troubleshooting: Debug complex distributed-systems issues across the control plane and Kubernetes layer.