Jonathan Beber
Staff Software Engineer at CodeSignal
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolJonathan Beber is a Staff Software Engineer based in São Paulo with 11 years of experience building and operating cloud-native platforms, specializing in Kubernetes, containers, AWS and Golang. He has moved between senior SRE and engineering roles at companies like Zalando, D2iQ and CodeSignal, often focusing on autoscaling, CI/CD and reliable test environments for large-scale Kubernetes deployments. An active open-source contributor, he extended Zalando’s kube-metrics-adapter to support time-based autoscaling via CRDs and improved metrics collection and dependency upgrades—work that sits at the intersection of control-plane engineering and operator-style automation. Pragmatic and hands-on, Jonathan blends DevOps tooling, networking and backend development to reduce operational friction and ship resilient systems. He’s comfortable influencing both developer experience and platform reliability, and his interests extend well beyond infrastructure into broader systems and tooling design.
11 years of coding experience
10 years of employment as a software developer
Técnico em Redes de Computadores, Tecnologia da Informação, Técnico em Redes de Computadores, Tecnologia da Informação at SENAI - SC
Stackoverflow
547reputation
170kreached
10answers
3questions
Github Skills (24)
autoscaling10
e2e-testing10
kubernetes10
docker10
resource-dictionary10
e2e-test10
dockers10
go10
aws10
e2e10
kubernetes-pods10
cicd9
cloud-infrastructure9
devops9
metric9
Programming languages (15)
Github contributions (5)
zalando-incubator/kube-metrics-adapter
Jan 2021 - Nov 2021
General purpose metrics adapter for Kubernetes HPA metrics
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1 release, 23 reviews, 43 commits in 10 months
Contributions summary:Jonathan primarily focused on extending the functionality of the kube-metrics-adapter, implementing features related to time-based autoscaling using custom resources (CRDs) for scheduling. They added collectors for `ScalingSchedule` and `ClusterScalingSchedule` metrics, integrated Kubernetes client-go tools, and made the ramp-up/down scaling steps configurable. The user also made improvements, including switching optional schedule fields to pointers and upgrading Kubernetes dependencies. Furthermore, they refactored and improved the metrics store.
zmonhpaautoscalingadapterpurpose
zalando-incubator/kubernetes-on-aws
Oct 2020 - Nov 2021
Deploying Kubernetes on AWS with CloudFormation and Ubuntu
Role in this project:DevOps Engineer
DevOps EngineerContributions:35 reviews, 262 commits, 258 PRs in 1 year 1 month
Contributions summary:Jonathan's contributions primarily involve updating the `stackset-controller` and Kubernetes versions within the repository's end-to-end (e2e) tests. They are updating dependencies, and adjusting the Kubernetes version. Additionally, the user made changes to the GPU nodepool configuration for e2e tests and updating the NVIDIA Docker. This demonstrates a focus on ensuring the smooth operation and testing of Kubernetes deployments on AWS.
deployingdevopsdockercloudamazon-web-services
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.