Software Engineer Data Ingestion Infrastructure

last updated June 8, 2021 21:14 UTC

Elastic

HQ: Mountain View, CA

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Logstash is a popular, open source data processing platform and an important component of the Elastic Stack. People choose Logstash for its simplicity and extensibility. Over the last few years, Logstash has evolved to become a powerful server-side data processing platform responsible for ingesting terabytes of data into Elasticsearch and other systems.

The Logstash team is responsible for developing the core data processing infrastructure and its thriving plugin ecosystem. As Logstash matures into being a ubiquitous data ingestion pipeline, our team is building new features to make it , faster, easier, and more reliable, to drive our next wave of adoption. You’ll work with a geographically diverse, distributed and fun loving team. The Engineering organization at Elastic is spread across 30+ countries, and we have a flexible, family-friendly work schedule. We make great software, love autonomy and collaboration, and most importantly, love our users.

What would I do?

  • Implement new stream processing and ETL features in Logstash

  • Build framework to detect data patterns using complex event processing capabilities.

  • Add integration features for services like Kinesis, Google PubSub, Kafka, HDFS to expand the reach of the plugins.

  • Write code in Java and JRuby.

  • Our environment is highly collaborative; we use tools like Zoom, Slack, and Github heavily. You’ll work with other development teams from UI, Cloud, Elasticsearch, support engineers, and solution architects regularly as you develop new features.

  • Speak at conferences, meetups, and internal events to engage with our users.

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