Senior Software Engineer - VERA Engine&Ecosystem, Amsterdam

The Stream Engines&Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration.

Role Overview We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non‑trivial technical problems — from design proposals through implementation, testing, release, and production hardening.

Responsibilities

Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API.

Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration.

Diagnose and resolve correctness, performance, and stability issues in distributed production environments.

Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives.

Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis.

Collaborate with adjacent teams across platform, SRE, and product functions.

Requirements

Strong proficiency in Java, with a solid understanding of the JVM, concurrency, memory model, and performance tuning.

Working knowledge of distributed systems fundamentals: consensus, replication, consistency models, fault tolerance, and failure recovery.

Demonstrated ability to reason about and debug complex distributed systems under production conditions.

Experience designing and implementing non-trivial systems-level software, with a track record of shipping and maintaining production code.

Familiarity with stream processing concepts such as event time, watermarks, windowing, exactly-once semantics, and state backends.

Ability to produce clear design documents and collaborate effectively in an asynchronous, remote environment.

Preferred Qualifications

Contributions to Apache Flink or comparable open-source projects in the streaming, messaging, or data infrastructure space (e.g., Kafka, Pulsar, Spark, Iceberg, Paimon).

Committer or PMC status on a relevant Apache project.

Hands‑on experience with the internals of Flink or a similar distributed stream processing engine.

Experience building or maintaining connectors, catalog integrations, or CDC pipelines.

Familiarity with integrating AI/ML model serving or inference into data processing pipelines.

Experience with storage formats and lakehouse technologies (Parquet, ORC, Iceberg, Hudi, Paimon, Delta Lake).

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