Rob Bavey
Software Engineering Manager at Elastic
Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolRob Bavey is a Senior Software Engineering Manager at Elastic with over a decade of experience building and leading teams that deliver resilient, production-grade back-end and DevOps software. He rose through individual contributor and technical leadership roles at Elastic—contributing significant Java and operator work to high-profile open-source projects like Logstash and Elastic Cloud on Kubernetes—while also improving integration tests and backward compatibility for Elasticsearch plugins. Rob combines deep systems-level craftsmanship (byte buffer handling, DLQ metrics, PVC resizing) with practical operator design and CI/CD improvements, making complex distributed systems more reliable and maintainable. Based in Massachusetts, he brings a long track record across startups and enterprises dating back to the 1990s and a BSc in Computer Science from Newcastle University, pairing historical perspective with modern cloud-native expertise.
10 years of coding experience
24 years of employment as a software developer
BSc Computer Science, BSc Computer Science at Newcastle University
Stackoverflow
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Github Skills (35)
kubernetes10
back-end-development10
data-engineering10
amazon-elasticsearch10
kubernetes-operator10
cicd10
java10
javas10
elasticsearchquery10
go10
logstash10
aws-elasticsearch10
kubernetes-pods10
elasticsearch10
integration-testing10
Programming languages (9)
Github contributions (5)
logstash-plugins/logstash-output-elasticsearch
Aug 2017 - Nov 2022
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:29 reviews, 53 commits, 56 PRs in 5 years 3 months
Contributions summary:Rob primarily contributed to improving the integration tests and compatibility of the Elasticsearch output plugin. They addressed issues related to Elasticsearch versions, including compatibility with older versions (5.6) and newer versions (6.0+ and 7.x). This involved modifying mappings, disabling tests for deprecated features, and adjusting code to accommodate API changes, while also working on build process and CI/CD pipeline to support new Elasticsearch versions. The user also addressed potential failures in bulk requests, and improved how Elasticsearch is handled during startup.
elastic/logstash
May 2017 - Dec 2022
Logstash - transport and process your logs, events, or other data
Role in this project:Back-end Developer & Java Engineer
Back-end Developer & Java EngineerContributions:560 reviews, 896 commits, 968 PRs in 5 years 8 months
Contributions summary:Rob made several contributions focused on improving the Logstash core's Java code base. They refactored code related to byte buffer handling, added metrics for the dead letter queue, and fixed various bugs related to event processing and timestamp seeking within the DLQ. They also addressed Javadoc warnings and implemented additional checks to improve the stability and reliability of the system.
eventsstreamingloggingetl-frameworklogstash
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