Jonathan Serbent

Software Engineer at Microsoft

Austin, Texas Metropolitan Area United States
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Summary

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Rockstar
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Jonathan Serbent is a software engineer with 3.5 years building production infrastructure for Microsoft Azure AI Search and eight years of overall engineering experience, now based in Austin. He specializes in API design, developer tooling, and scalable distributed systems, having architected changes to support 1M+ indexes per service instance and migrated API specs to TypeSpec to enable automated SDK generation. At Microsoft he defined API release processes, introduced testing and monitoring that shifted bug detection from post-release to pre-merge, and built monitors that caught a dozen regressions missed by tests. Comfortable across the stack (C#, .NET, Python, Go, Docker, Kubernetes), he focuses on infrastructure work that multiplies team effectiveness and reduces manual toil. Recently transitioned out of Microsoft, he’s exploring backend, API, and developer tooling roles where he can take broader ownership and drive business impact. Outside of work he records and produces music, a hobby that mirrors his approach to engineering: meticulous, creative, and detail-oriented.
code8 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science and Arts - BSA, Computer Science, Bachelor of Science and Arts - BSA, Computer Science at The University of Texas at Austin
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Stackoverflow

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Github Skills (11)

csharp10
azure-cognitive-search10
dotnet-core10
api-design9
restful-api9
rest-api9
error-handling9
api-rest9
cloud-computing8
microservices-application7
microservices7

Programming languages (5)

TypeScriptC#PowerShellMarkdownTypeSpec

Github contributions (5)

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A collection of useful functions to be deployed as custom skills for Azure Cognitive Search
Role in this project:
userBack-end Developer
Contributions:18 reviews, 32 commits, 2 PRs in 1 month
Contributions summary:Jonathan primarily contributed to developing a custom skill for Azure Cognitive Search. Their work focused on implementing the core logic for healthcare text analytics, including setting up the function, integrating the Azure Text Analytics service, and handling input/output data. They added features like timeout mechanisms, error checking, and language options, demonstrating a focus on the reliability and functionality of the custom skill. Furthermore, the user refactored the project structure by renaming and updating the reference to the project's components.
cognitiveazure-cognitive-searchdeployedazurecognitive-search
A collection of useful functions to be deployed as custom skills for Azure Cognitive Search
Contributions:20 pushes, 1 branch in 1 month
cognitiveazure-cognitive-searchdeployedazurecognitive-search
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Jonathan Serbent - Software Engineer at Microsoft