Andy Luong
Software Engineering Manager at Google
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolAndy Luong is a seasoned software engineering manager with 14 years of experience leading teams at Google and Microsoft, specializing in cloud platforms, APIs, and developer-facing services. He blends hands-on engineering with people leadership, having moved from building Power BI and Office-integrated services to architecting cloud solutions and commercial engineering programs. A long-time contributor to the notable open-source project Cloud Custodian, Andy focused on Azure resource tagging, permission-aware workflows, and automation that improve cloud governance and cost controls. He holds BS and MS degrees in Computer Science from the University of Texas at Austin and brings deep expertise in Azure, Service Fabric, and API management. Known for pragmatic problem-solving, he often surfaces data-driven automation opportunities that reduce operational friction for large teams. Based in New York, he combines enterprise-scale experience with a developer-first mindset that accelerates partner and product outcomes.
14 years of coding experience
10 years of employment as a software developer
Bachelor of Science, Computer Science; Mathematics - Scientific Computing, Bachelor of Science, Computer Science; Mathematics - Scientific Computing at The University of Texas at Austin
Vietnamese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
azure10
azure-functions10
microsoft-azure10
cloud-computing10
python10
rule-engine9
apidoc9
api9
engine9
serverless8
docker4
dockers4
gcp4
aws4
Programming languages (11)
Github contributions (5)
cloud-custodian/cloud-custodian
Apr 2018 - Jun 2021
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 50 commits, 101 PRs in 3 years 2 months
Contributions summary:Andy primarily contributed to the Azure-related functionality of the cloud-custodian project. Their work centered around adding and modifying actions related to tagging Azure resources, specifically focusing on virtual machines and resource groups. This included adding support for new tag actions, validating input, and improving the logic for auto-tagging users based on Azure Activity Logs. The user also introduced functionality to handle scenarios where the user did not have enough permissions and updated the Azure function.
gcpquery-filterserverlesscompliancecloud-security
microsoft/azure-python-redis-queue-processor
Nov 2017 - Dec 2017
Contributions:31 commits, 25 PRs, 26 pushes in 1 month
pythonredisvmsparallellinux
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