Kevin Houck
Staff Software Engineer at Coinbase
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolKevin Houck is a Staff Software Engineer based in Seattle with 10 years of experience designing and operating distributed systems, compute platforms, and application networking. He has deep production experience at AWS across Lambda and API Gateway and now drives core infrastructure at Coinbase, focusing on scalable serverless and networking primitives. His work blends backend systems engineering with performance benchmarking—contributing to the open-source Open Lambda project by adding fine-grained performance logging and benchmarking to understand container startup, network, and workload execution costs. Kevin’s background includes research-grade tooling from UW–Madison (PipBench, configurable load testing) and a proven track record of shipping high-throughput, low-latency services at scale. He combines hands-on coding in Go and Python with a quantitative approach to performance measurement, making him adept at turning research insights into production reliability. Colleagues rely on him for pragmatic, data-driven improvements to compute and network infrastructure.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Honors in the Major (Senior Thesis) Computer Science, Bachelor’s Degree Honors in the Major (Senior Thesis) Computer Science at University of Wisconsin-Madison
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
serverless10
benchmark10
benchmarking10
distributed-systems10
go10
dockers9
docker9
microservices8
microservices-application8
Programming languages (2)
Github contributions (5)
open-lambda/open-lambda
Feb 2017 - Nov 2017
An open source serverless computing platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:132 commits, 39 pushes, 6 branches in 9 months
Contributions summary:Kevin contributed to the performance logging and benchmarking of the open-lambda serverless computing platform. They added code to include performance logging in the worker server and handler components and modified the benchmark tests to focus on workload execution. These changes involved integrating a benchmarking library to measure the time taken to execute lambda functions and related operations such as container startup and network requests. The user also modified configuration settings to support benchmarking.
golang-applicationserverlessdistributed-systemsmicroservicescomputing
open-lambda/pipbench
May 2017 - Feb 2018
Contributions:5 commits, 1 push, 1 branch in 9 months
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