Gabi Davar

Senior DevOps Engineer at Engageli

Israel
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
Gabi Davar is a Senior DevOps Engineer with 13 years of experience building and operating production-grade Kubernetes platforms since 2016, alongside deep expertise in AWS, Terraform and Python. He pairs strong observability skills—Prometheus, Grafana, Elasticsearch and FluentD—with a pragmatic, troubleshooting-first approach to architecture and incident resolution. A former embedded ARM software specialist, he transitioned from low-level systems to cloud-native infrastructure and brings rare insight from both domains. He has driven DevOps at companies like Arm, Pelion and Engageli and contributed to notable open-source projects including kube-state-metrics and psutil, improving metrics, test robustness and cross-platform build reliability. Known as a hands-on coach and reviewer, he balances shipping reliable systems with mentoring teams to adopt practical engineering practices.
code13 years of coding experience
job23 years of employment as a software developer
languagesEnglish, Hebrew, Russian
stackoverflow-logo

Stackoverflow

Stats
969reputation
487kreached
10answers
0questions
github-logo-circle

Github Skills (42)

dependency-management10
kubernetes10
debug10
py10
python10
setuptools10
testing10
windows10
numpy10
go10
prometheus10
cython10
build-automation10
kubernetes-pods10
computer-vision10

Programming languages (21)

C#SmartyJavaC++CRustVueGo

Github contributions (5)

github-logo-circle
Add-on agent to generate and expose cluster-level metrics.
Role in this project:
userBackend Developer
Contributions:1 review, 10 commits, 4 PRs in 3 years 7 months
Contributions summary:Gabi primarily contributed to adding and modifying metrics related to Kubernetes DaemonSets within the kube-state-metrics project. They introduced features such as the ability to expose labels and annotations, and fixed copy/paste issues across resources including HorizontalPodAutoscalers, CronJobs, and DaemonSets. Their work involved code changes in Go, specifically impacting the collection and reporting of Kubernetes object metrics.
prometheus-exporteragentkubernetes-exporterobservabilityexpose
luispedro/mahotas

Jun 2013 - Oct 2016

Computer Vision in Python
Role in this project:
userBack-end Developer & Automation Engineer
Contributions:8 commits, 3 PRs, 2 comments in 3 years 4 months
Contributions summary:Gabi focused on improving the build process, documentation, and overall project structure. They fixed build errors, particularly addressing compatibility issues on platforms without specific numerical precision support. Furthermore, the user refactored the build system by replacing scripts with entrypoints and added compilation flags for the Microsoft Visual C++ compiler. They also made several documentation improvements.
pythonvisionnumpyc-plus-pluscomputer-vision
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.
Request Free Trial