Senior Software Engineer - VERA Engine & Ecosystem
New
Spain. Germany. United Kingdom. Netherlands. Poland. GreeceFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- JavaJVMKafkaSparkDistributed Systems
Requirements
- Strong proficiency in Java
- 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 data systems under production conditions
- Experience designing and implementing non-trivial systems-level software
- 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
- Ability to collaborate effectively in an asynchronous, remote environment
- Contributions to Apache Flink or comparable open-source projects in streaming, messaging, or data infrastructure (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)
Responsibilities
- Contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem.
- Take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening.
- 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.
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