BairesDev is seeking a Distributed Systems Engineer to work on Apache Spark internals, not pipelines, focusing on the engine core (Catalyst, Tungsten, DAG Scheduler, Shuffle, memory management) at petabyte scale. The role involves upstream contributions and engine-level debugging.
You will contribute production-grade Spark code, optimize JVM performance, and collaborate with global engineers. We offer remote work, USD compensation, flexible hours, and a multicultural, top-tier engineering
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📌 Spark Internals Engineer - Distributed Systems, Remote (Turbigo)
🏢 Altro
📍 Turbigo