Jake Landis

Associate Vice President Enterprise Services, UIS

Kansas City, Missouri, United States
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Summary

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Jake Landis is an experienced technology leader who has spent the past decade building and operating enterprise CRM and data platforms at Georgetown University, now serving as Associate Vice President for Enterprise Services. He directs large-scale Salesforce implementations such as the GU360 project that unify student, faculty, and staff data, and he leads cross-functional teams of developers, integration engineers, and analysts to deliver reliable campus-wide services. Hands-on in backend engineering and test automation, Jake has contributed to high-profile open-source projects including Logstash and Elasticsearch, focusing on monitoring, stability, and test reliability. His background blends product-facing CRM strategy with deep technical craftsmanship—tackling memory leaks, pipeline reload issues, and flaky tests to improve system resilience. Based in Kansas City, he pairs an academic grounding in communication and technology with practical experience in scalable integrations and data quality. Colleagues would note his rare mix of institutional program leadership and low-level engineering attention to detail.
code9 years of coding experience
job19 years of employment as a software developer
bookMasters, Communication, Culture and Technology, Masters, Communication, Culture and Technology at Georgetown University
bookBA, Communications, BA, Communications at Elizabethtown College
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Github Skills (25)

debugging10
multithreading10
amazon-elasticsearch10
testing10
test-framework10
jdbc10
java10
watchers10
ruby10
javas10
elasticsearchquery10
junit10
logstash10
aws-elasticsearch10
elasticsearch10

Programming languages (8)

TypeScriptJavaCHandlebarsJavaScriptGoRubyPython

Github contributions (5)

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elastic/logstash

May 2017 - Mar 2019

Logstash - transport and process your logs, events, or other data
Role in this project:
userBack-end Developer & Test Automation Engineer
Contributions:288 commits, 255 PRs, 38 pushes in 1 year 9 months
Contributions summary:Jake primarily worked on bug fixes and improvements related to the Logstash's monitoring API and logging functionality, specifically addressing issues with log level changes and Java code integration. Their contributions also include implementing test cases and making enhancements to the integration test suite to improve reliability and accuracy. The user's work is centered around improving the system's stability and ensuring the accuracy of the system's logging and monitoring capabilities. Additional contributions include code optimization, bug fixing and test suite enhancement.
logstashetl-frameworkstreamingloggingjava
elastic/elasticsearch

Jul 2018 - Dec 2022

Free and Open Source, Distributed, RESTful Search Engine
Role in this project:
userBack-end & Test Automation Engineer
Contributions:1172 reviews, 559 commits, 1245 PRs in 4 years 6 months
Contributions summary:Jake primarily focused on improving the testing framework and fixing test failures within the Elasticsearch repository. Their contributions involved addressing test failures in the SmokeTestWatcherWithSecurityIT test suite, and in tests that involved the watch functionality. The user identified and resolved the root causes of failures, implemented busy waits, added logging and retries to enhance test reliability. Additionally, they made changes to the testing infrastructure to address and improve the state management of tests to avoid inconsistent test results and memory leaks.
restrestfulsearch-engineelasticsearchjava
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