Travis Groth
Director Of Customer Engineering at OpenRouter
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTravis Groth is a seasoned Customer Engineer and infrastructure leader with 14 years of experience building and operating cloud-native systems for enterprises and startups from New York. He has held senior roles across Google, Pomerium, Capsule, and Tapad—moving between hands-on SRE work, DevOps engineering, and engineering leadership while focusing on reliability, configuration management, and telemetry. As a founding Customer Engineer at OpenRouter he now enables customers on their AI journeys, drawing on recent experience driving cloud adoption for financial services at Google. He contributes to open-source observability and access projects—adding Aerospike collectors to the popular Diamond metrics daemon and improving config/telemetry in the Pomerium access proxy—demonstrating a knack for bridging product needs and low-level system metrics. With a BA in English, he pairs technical depth with clear communication, making complex infrastructure accessible to engineering and business stakeholders alike.
14 years of coding experience
21 years of employment as a software developer
BA English, BA English at University of Connecticut
Github Skills (21)
data-collection10
python10
configuration-management10
viper10
go10
collections10
aerospike10
metric10
unit-testing9
kubernetes9
dockers9
docker9
kubernetes-pods9
grpc8
env8
Programming languages (17)
Github contributions (5)
pomerium/pomerium
May 2019 - Apr 2022
Pomerium is an identity and context-aware access proxy.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:61 releases, 306 reviews, 319 commits in 2 years 11 months
Contributions summary:Travis's contributions primarily involve refactoring the codebase to streamline options management and improve configuration handling. They transitioned from `envconfig` to `viper` for options parsing, improving the codebase. In addition, the user added support for automatic configuration reloading and policy handling, and they also added code to create the telemetry, including gRPC and HTTP client metric instrumentation to gather more statistics.
proxyreverse-proxyiambeyondcorpidentity
python-diamond/Diamond
Jul 2016 - Feb 2017
Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 7 PRs, 12 comments in 7 months
Contributions summary:Travis primarily focused on enhancing the Aerospike collector for Diamond, a system metrics collection daemon. Their contributions included adding a new collector for the Aerospike NoSQL database, implementing features to gather metrics related to latency, statistics, throughput, and namespaces. Furthermore, the user added support for newer metric formats and made minor improvements to comply with code style guidelines.
python
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