Engineering Team Lead Edge Computing Observability at Datadog
New York, New York, United States
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Summary
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Stephen Firrincieli is an engineering leader with a decade of experience building observability for cloud and edge workloads, currently leading Datadog’s Edge Computing Observability team in New York. He rose through multiple senior engineering roles at Datadog, shipping the first Serverless UIs for Lambda and Azure, authoring libraries that power GCP and Vercel integrations, and scaling platform systems that handle thousands of concurrent cloud jobs. Hands-on with backend systems and Python-based serverless tooling, he’s contributed to Datadog’s popular datadog-serverless-functions repo by enhancing Lambda metrics, custom tagging, cost estimation, and test coverage. Known for turning research-style data problems into production-ready systems (early work included word2vec-driven bioinformatics visualizations), he blends product-minded engineering with pragmatic technical leadership.
10 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at University of North Carolina at Chapel Hill
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:
Backend Developer
Contributions:3 releases, 1 review, 39 commits in 9 months
Contributions summary:Stephen primarily contributed to enhancing the serverless functions within the repository. Their work focused on adding enhanced metrics to the AWS Lambda functions, which involved modifying Python code and integrating with the Datadog Lambda layer. They also added functionality for custom tag fetching and cost estimation. Further, the user has worked on refactoring and cleaning up the codebase, as well as improving test coverage.
Contributions:22 PRs, 41 pushes, 2 branches in 1 month
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Stephen Firrincieli - Engineering Team Lead Edge Computing Observability at Datadog