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Distributed Systems Engineer

Location: Remote
Compensation: To Be Discussed
Reviewed: Mon, Jun 15, 2026
This job expires in: 28 days

Job Summary

Seeking a full-time remote Distributed Systems Engineer with expertise in Apache Spark internals to contribute production-grade code, debug and optimize core components, and influence architectural direction for performance and scalability.

Key responsibilities
  • Contribute production-grade code to the Apache Spark project, focusing on Spark SQL and Structured Streaming
  • Debug and optimize Spark internals including Catalyst, Tungsten, DAG Scheduler, Shuffle, and memory management
  • Collaborate with cross-functional teams and mentor engineers through code reviews and design critiques
Required qualifications
  • 6+ years of experience in software development
  • Strong skills in Java and/or Scala
  • Experience with distributed systems and concurrent or parallel programming
  • Working knowledge of Spark internals (Catalyst, Tungsten, DAG Scheduler, Shuffle, or memory management)
  • Familiarity with JVM performance characteristics (GC, memory, threading)

COMPLETE JOB DESCRIPTION

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