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Lorenzo Bragagnolo

@lorenzobragagnolo

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DevOps and Platform Engineer specializing in scalable CI/CD, cloud infrastructure, and MLOps.

Japan

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What I'm looking for

I seek roles focused on scalable platform design, automation, and DevSecOps where I can drive cloud cost optimizations, CI/CD reliability, and developer enablement.

I am a DevOps / Platform Engineer with deep experience designing and operating large-scale CI/CD platforms, cloud infrastructure, and containerized systems that support thousands of developers and high-throughput production workloads.

I have led platform migrations, built multi-architecture (ARM/x86) Docker images and CI pipelines, implemented MLOps pipelines, and administered AWS with strong DevSecOps practices—delivering measurable results such as a 55% reduction in AWS costs and major platform migrations with zero downtime.

I prioritize automation, security, and reliability: I automate artifact lifecycle management, introduced threat modeling into CI/CD, developed security automation tooling, and drove platform adoption through docs, tech talks, and hands-on developer support.

Experience

Work history, roles, and key accomplishments

Current

DevOps / MLOps Engineer

Current

EdgeCortix

Dec 2024 - Present (1 year 1 month)

Designed and operated cloud infrastructure and multi-architecture CI pipelines for compiler, ML, and edge-computing solutions, reducing AWS costs by 55% and automating artifact lifecycle and delivery workflows.

AWS Docker Multi Architecture Builds MLOps Nexus Jenkins CI CD

DevOps Analyst

ADP

Mar 2022 - Nov 2024 (2 years 8 months)

Core contributor to a OneCICD platform serving 4,000 developers and 25,000 builds/day; led Jenkins migrations to OpenShift, enabled ARM64 agents, and automated processes to cut manual work from three weeks to two hours.

Jenkins OpenShift Kubernetes GitOps ARM64 Terraform Artifactory CI CD DevSecOps

Education

Degrees, certifications, and relevant coursework

Pontifical Catholic University of Rio Grande do Sul

Bachelor of Science, Computer Science

Completed a Bachelor of Science in Computer Science with coursework in distributed systems, operating systems, parallel and edge computing, algorithms, computer architecture, databases, and computer networks.