Katie Coronado - Software Engineer III at Google

Katie Coronado

Software Engineer III at Google

Seattle, Washington, United States

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Summary

👤

Senior

🎓

Top School

Katie Coronado is a Software Engineer III at Google with a decade of experience designing APIs, backend services, and cloud-native microservices. A Google Engineering Residency alum, she spent 4.5 years on GKE projects—driving upgrade notifications to GA, implementing maintenance exclusion scopes, and hardening upgrade policies—before moving to Google Health to work on Care Studio. She brings practical cloud and infra expertise from hands-on contributions to prominent open-source Kubernetes projects (Cluster API and GCP provider), improving GCP provisioning, networking, and machine image workflows. Comfortable across frontend (TypeScript/Angular UI work) and backend systems, she has a pattern of shipping features end-to-end and quickly iterating on security-sensitive releases. Based in Seattle and grounded in computer engineering, she’s motivated by building software that improves healthcare delivery and patient outcomes. An uncommon strength is her blend of embedded-systems internship experience and large-scale cloud engineering, enabling thoughtful system-level tradeoffs.

10 years of coding experience

4 years of employment as a software developer

Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at University of Pittsburgh

Computer Science, Computer Science at National University of Singapore

English, French

Github Skills (16)

cluster-api10

kubernetes10

infrastructure-as-code10

docker10

cloud-infrastructure10

google-compute-engine10

go10

cloud-services10

dockers10

kubernetes-pods10

gcp10

testing9

automations8

automation8

cd8

Programming languages (1)

Github contributions (5)

kubernetes-sigs/cluster-api-provider-gcp

Apr 2018 - Jun 2018

The GCP provider implementation for Cluster API

Role in this project:

Cloud Engineer / Infrastructure Engineer

Contributions:8 commits, 1 issue in 1 month

Contributions summary:Katie made several contributions related to the GCP provider implementation for Cluster API. They focused on configuring machine setup, including creating a ConfigMap for startup scripts and modifying the image field. Additionally, the user updated the machine controller image and implemented changes to network configuration by using kubenet, adding worker tags, and adding service accounts. The user also changed the default image to Ubuntu 1604.

gcpapiprovidergoogle-cloud-platformcluster-api

kubernetes-retired/kube-deploy

Feb 2018 - Feb 2018

A place for cluster deployment automation

Role in this project:

Backend & DevOps Engineer

Contributions:6 commits, 4 PRs, 19 comments in 8 days

Contributions summary:Katie primarily focused on migrating existing tests off the ginkgo/gomega framework. They updated tests related to cluster and machine controllers, and API server tests to utilize standard testing practices. Furthermore, the user modified the Google Cloud Platform (GCP) machine actuator to retrieve OS images from provider configurations, enhancing the flexibility of machine deployments. This involved adjusting image retrieval logic and improving the default image version.

placekubernetes-deploymentdevopsdeploymentkubernetes

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