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# Distributed Systems Engineer

- **Company:** Bairesdev S.A.
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Apache HTTP Server, Big Data, Cloudera Impala, Code Review, Software Debugging, Distributed Systems, Apache Hadoop, Apache HBase, Apache Hive, Java Virtual Machine (JVM), Open Source Technology, Software Deployment, Software Engineering, Apache Spark, Kubernetes, Druid, Apache Flink, Production Code, Apache Kafka, Apache Nifi, Vertica, Stream Processing
- **Published:** August 11, 2026
- **Apply:** https://es.trabajo.org/oferta-4112-389e9fd266476f26219fe33ebaef7830

## About the Role

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. Nice To Have 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). How we do make your work (and your life) easier: Remote Work. Excellent compensation in USD or your local currency if preferred. Hardware and software setup for you to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work

## Description

best fits their depth. The work spans query engines, distributed runtimes, storage layers, streaming systems, and metadata services at petabyte and enterprise scale, with ample scope for upstream contribution. What You'll Do 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. What We Are Looking For 6+ years of experience in software development. Strong Java and/or Scala skills., Experience with distributed systems and concurrent or parallel


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