Matteo Madeddu

Platform Engineer

Turin, Piedmont, Italy
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Summary

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Senior
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Top School
Matteo Madeddu is a Cloud Infrastructure Engineer with eight years building and evolving AWS-native platforms, currently shaping infrastructure at TrueLayer after senior SRE and DevOps roles at Prima Assicurazioni. He specializes in Terraform, Kubernetes, Helm and GitHub-driven workflows, and has a proven track record designing serverless and containerized architectures across fintech, IoT, and research contexts. Comfortable in polyglot stacks—Python, Go, Elixir—and experienced with Pulumi, CloudFormation and CDK, he bridges infrastructure-as-code with pragmatic operational practices. A regular speaker and active blogger (madeddu.xyz), Matteo pairs hands-on engineering with community-facing communication, and brings a playful, iterative mindset—“if at first I don’t succeed I call it version 1.0”—to resilient system design.
code9 years of coding experience
job8 years of employment as a software developer
bookDiploma, Liceo Niccolò Copernico, Indirizzo PNI (Piano Nazionale Informatica), Diploma, Liceo Niccolò Copernico, Indirizzo PNI (Piano Nazionale Informatica) at Liceo Scientifico
bookMaster's degree, Dipartimento di Informatica, Curriculum Sistemi per il Trattamento dell'Informazione, Master's degree, Dipartimento di Informatica, Curriculum Sistemi per il Trattamento dell'Informazione at Università degli Studi di Torino
languagesEnglish
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Stackoverflow

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Github Skills (149)

polly10
dynamodb10
lambda10
typescript10
cloud-infrastructure10
amazon10
sam10
perceptron10
cloud-development-kit10
aws10
infrastructure-as-code10
serverless-applications9
neural9
python9
serverless9

Programming languages (13)

C++CSSRustElmVueGoTypeScriptShell

Github contributions (5)

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made2591/aws-guide

Aug 2017 - Aug 2017

Contributions:65 commits, 61 pushes, 1 branch in 2 days
made2591/go-perceptron-go

Jul 2017 - Jul 2018

A single / multi layer / recurrent neural network written in Golang.
Contributions:19 commits, 3 PRs, 46 pushes in 1 year
golangrecurrent-neural-networksperceptronlevel-perceptronweights-estimated
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