Ververica | Original creators of Apache Flink® logo
Ververica | Original creators of Apache Flink®

The Unified Streaming Data Platform by the original creators of Apache Flink®, powered by VERA cloud-native engine.

Senior Software Engineer - Stream Storage (Apache Fluss)

Software EngineerSoftware EngineerOtherRemoteSeniorTeam 51-200Since 2014H1B No SponsorCompany SiteLinkedIn

Location

Netherlands

Posted

50 days ago

Salary

0

Seniority

Senior

Job Description

Senior Software Engineer - Stream Storage (Apache Fluss)

Ververica | Original creators of Apache Flink®

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

Job 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

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