Distributed Systems Engineer (Apache Big Data Internals) - Remote Work | REF#294490

BairesDev is a leading technology company that delivers cutting-edge solutions to major clients and innovative startups. They are seeking a Distributed Systems Engineer with expertise in Apache big data internals to contribute to production-grade code and optimize engine internals at a petabyte scale.

Responsibilities:

• Contribute production-grade code to Apache big data projects
• Debug and optimize engine internals — query planning, distributed execution, scheduling, state management, replication, storage layers, and metadata services — at petabyte scale
• Influence architectural direction for performance and scalability at the engine layer
• Profile and tune JVM behavior (GC, memory layout, concurrency)
• Collaborate with cross-functional engineering teams and open source committers on integrations and ecosystem work
• Mentor senior engineers and raise the engineering bar through code reviews and design critiques

Requirements:

• 6+ years of experience in software development
• Strong Java and/or Scala skills
• Experience with distributed systems and concurrent or parallel programming
• Working knowledge of internals of at least one Apache big data project: Spark, Flink, Trino, Ozone, Iceberg, Hive, NiFi, Kafka, Hadoop, HBase, Impala, or Kudu
• Familiarity with JVM performance characteristics (GC, memory, threading)
• Advanced level of English
• Upstream contributions to Apache big data projects; committer or PMC status is a strong plus
• Experience operating distributed systems at petabyte scale in production
• Experience with adjacent or comparable engines (PrestoDB, Impala, Druid, Pinot, ClickHouse, CockroachDB)
• Kubernetes and cloud-native deployment experience
• Public technical presence (talks, blogs, OSS community leadership)