Senior Software Engineer - Stream Storage (Apache Fluss)

Ververica GmbH
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
Adobe InDesign
Apache HTTP Server
Databases
Software Debugging
Distributed Data Store
Distributed Systems
Federal Information Processing Standards (FIPS)
Open Source Technology
SQL Databases
Data Logging
Apache Flink
Kafka
Stream Processing
Stream Analytics

Job 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 DoCore 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 ForRequired 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 & conditions

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

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