[Hiring] Senior Software Engineer - Stream Storage @Ververica GmbH

Role Description

We are building the next generation of stream-native storage systems centered around table semantics — not just logs. Our Stream Storage team develops high-performance distributed systems that power real-time analytics, streaming pipelines, and transactional workloads.

As a Senior Software Engineer, you will contribute to core stream storage infrastructure, Apache Fluss (open-source), and internal production-grade systems built on Fluss. This role sits at the intersection of distributed systems, storage engines, streaming systems, and database internals.

What You’ll Do

• Design and implement distributed storage components for streaming tables
• Work on table lifecycle: schema evolution, ingestion, compaction, retention, indexing
• Enhance the Fluss Lakehouse ecosystem support
• Contribute features and fixes to the Apache Fluss OSS project
• Participate in design discussions and Fluss Improvement Proposals (FIPs)
• Improve Fluss table engine performance and reliability
• Enhance integration with streaming engines (e.g., Flink)
• Engage with the open-source community via PR reviews and discussions
• Build internal tooling and services on top of Fluss
• Improve observability (metrics, logging, failure diagnostics)
• Optimize production deployments
• Contribute to benchmarking and testing frameworks

Qualifications

• 5+ years building distributed systems or storage systems
• Strong experience in Java, Go, Rust, or similar systems languages
• Good understanding of:
  • Consensus and replication (Raft, Paxos, etc.)
  • Storage engines (LSM trees, B-Trees, WAL, compaction)
  • Streaming systems (Kafka, Pulsar, Flink, etc.)
  • Transactional systems and consistency models
• Experience debugging production distributed systems

Requirements

• Experience with database internals or stream processing engines
• Familiarity with table formats (Iceberg, Hudi, Delta, etc.)
• Contributions to open-source projects (better if ASF)
• Experience with Flink or streaming SQL engines

Benefits

• Work on table-first stream storage, not just message logs
• Direct impact on Apache Fluss open-source evolution
• Solve complex consistency and performance trade-offs
• Influence architectural decisions in a fast-moving space
• Collaborate with engineers passionate about distributed systems