# Senior Software Engineer - Stream Storage (Apache Fluss)

**Company:** [Ververica GmbH](http://jobs.workable.com/companies/fR32A6zerK3JxY6MNAVWjB.md)
**Location:** Remote
**Workplace:** remote
**Department:** Stream Storage

[Apply for this job](http://jobs.workable.com/view/c931a710-39ec-493f-a4c1-a327e1090451)

## Description

### About the Role

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

### Core Engineering

-   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

### Internal Platform Development

-   Build internal tooling and services on top of Fluss
-   Improve observability (metrics, logging, failure diagnostics)
-   Optimize production deployments
-   Contribute to benchmarking and testing frameworks

## Requirements

### What We’re Looking For

### Required Experience

-   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

### Strongly Preferred

-   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

### Why Join Us

-   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