Robert Norte

Software Engineer - Incident Management at Datadog

New York, New York, United States
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Summary

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Robert Norte is a software engineer with six years of experience building scalable, low-latency services for consumer devices and observability tooling, currently focused on incident management at Datadog in New York. At Amazon he led backend systems for Alexa Photos and Notes, designing high-throughput ingestion, dynamic image resizing, and video streaming solutions that balanced latency, caching, and regional AWS optimizations. He has driven operational improvements—reducing build times by 50%, moving credential rotation to a more resilient pull model, and serving as a bar raiser for operational excellence—while mentoring peers and running office hours. Robert combines deep AWS serverless and distributed-systems expertise with practical client-side integration experience (including Android) to deliver end-to-end product features. He brings a pragmatic, reliability-first mindset to incident management and engineering processes, with a track record of shipping services used by hundreds of thousands of customers globally. A UC Berkeley computer science graduate, he pairs academic foundations with hands-on production experience across the full stack.
code6 years of coding experience
job6 years of employment as a software developer
bookBachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at University of California, Berkeley
languagesNorwegian
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Github Skills (13)

datadog10
hugo10
documentation10
facebook-ads7
instagram-api6
facebook6
api-client5
java5
facebook-api5
facebook-messenger5
api4
facebook-graph-api4
graph4

Programming languages (2)

JavaHTML

Github contributions (3)

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DataDog/documentation

Jul 2024 - Mar 2025

The source for Datadog's documentation site.
Contributions:7 reviews, 8 PRs, 9 pushes in 7 months
wikihugodatadogdocumentation-site
sundaylaundry/workspacehome

Feb 2024 - Feb 2024

Contributions:1 branch in 1 day
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Robert Norte - Software Engineer - Incident Management at Datadog