Kurt Hurtado
Vice President, Observability Engineering at Citi
Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolKurt Hurtado is a seasoned observability and infrastructure leader with 13 years of experience building cloud-native monitoring and telemetry platforms. As Vice President of Observability Engineering at Citi, he architects scalable observability stacks across Kubernetes and major tooling (Elastic, Grafana, Splunk, AppDynamics) and applies machine learning to predict failures and surface bottlenecks. Previously he shaped customer success, education, and early Logstash development at Elastic, bridging engineering, training, and product adoption for large enterprises. He has a deep DevOps and SRE background from roles at LiveJournal, TastemakerX, and startups, with hands-on experience in automation (Ansible, Python), CI/CD, and production telemetry. An active open-source contributor, Kurt enhanced Logstash’s Google BigQuery output plugin, reflecting a practical knack for extending widely used data ingestion tools. Based in Texas and educated in Symbolic Systems at Stanford, he blends systems thinking with a product-oriented approach to observability and operational intelligence.
13 years of coding experience
21 years of employment as a software developer
BS Symbolic Systems, BS Symbolic Systems at Stanford University
English, Spanish, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
java9
jruby9
logging9
javas9
streaming8
etl-framework8
Programming languages (5)
Github contributions (5)
elastic/logstash
Nov 2013 - Feb 2015
Logstash - transport and process your logs, events, or other data
Role in this project:
Backend Developer
Backend DeveloperContributions:138 commits, 8 PRs, 28 comments in 1 year 2 months
Contributions summary:Kurt contributed to the Google BigQuery output plugin for Logstash. Their work focused on adding the COMMONAPACHELOG file, which includes code for the google_bigquery plugin. The code differences suggest modifications to the existing plugin's functionality and integration with Google BigQuery. These changes indicate the user's involvement in enhancing Logstash's capabilities for data transport and processing related to the google_bigquery.
eventsstreamingloggingetl-frameworklogstash
kurtado/quick-elk
Apr 2014 - Apr 2015
Contributions:40 commits, 2 pushes, 3 comments in 11 months
splitelkelk-stackelasticsearchlaptop
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