Senior Software Engineer - Stream Storage (Apache Fluss)

Ververica GmbH is the driving force behind Apache Flink®, the leading open-source stream processing framework. We are pioneers in defining and engineering stream processing at massive scale, handling billions of events per second with millisecond latency.

Our platform is engineered in Europe, emphasizing sovereignty and discipline. It unifies data movement, processing, and storage, offering a solution that is up to 10x faster and 40% more cost-effective than standard open-source Flink. We provide a no-lock-in, no-latency, and no-compromise experience, deployable across any infrastructure – cloud, on-premise, or your own environment.

Global brands rely on Ververica for mission-critical real-time workloads that demand unwavering reliability. Join us to build the future of data processing with the very architects who established the industry standard.

Ververica GmbH is pioneering the future of stream-native storage, moving beyond traditional log-based systems to embrace table semantics for enhanced data management. We are developing high-performance distributed systems that are crucial for powering real-time analytics, sophisticated streaming pipelines, and robust transactional workloads.

As a Senior Software Engineer on our Stream Storage team, you will play a key role in shaping the core infrastructure of our stream storage solutions. This includes contributing directly to the open-source Apache Fluss project and building internal, production-grade systems that leverage its capabilities. This position offers a unique opportunity to work at the intersection of distributed systems, advanced storage engines, cutting-edge streaming technologies, and database internals.

Your responsibilities will encompass designing and implementing distributed storage components for streaming tables, managing the full table lifecycle including schema evolution, ingestion, compaction, and retention. You will also enhance the Fluss Lakehouse ecosystem, contribute features and fixes to the Apache Fluss OSS project, and actively participate in design discussions and Fluss Improvement Proposals (FIPs). Furthermore, you will focus on improving the performance and reliability of the Fluss table engine and its integration with streaming engines like Flink. Engaging with the open-source community through pull request reviews and discussions is also a vital part of this role.

Internally, you will build essential tooling and services on top of Fluss, improve observability through metrics and logging, optimize production deployments, and contribute to benchmarking and testing frameworks. This role requires a strong foundation in systems languages such as Java, Go, or Rust, coupled with extensive experience in building distributed systems and a deep understanding of consensus and replication mechanisms, storage engine principles, and streaming systems.

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