Bartłomiej Wróblewski
Senior Software Engineer at Google
Warsaw, Masovian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolBartłomiej Wróblewski is a Senior Software Engineer at Google Warsaw with a decade of experience building cloud-native infrastructure, currently focused on the Cluster Autoscaler for GKE. He brings deep back-end expertise in Kubernetes autoscaling, having contributed GCE-specific pricing and instance-template enhancements to the high-profile kubernetes/autoscaler project. Prior roles include leading engineering efforts on recommendation and decision engines and heading software for a student Mars rover, demonstrating a mix of production-grade system design and research-driven problem solving. Comfortable across Python, C++, ROS and cloud platforms, he pairs rigorous academic training from the University of Warsaw with hands-on operational responsibilities. Notably, his work improves autoscaler accuracy for custom instance types and better MIG handling in GCE, helping cloud customers cut costs and scale more reliably.
10 years of coding experience
8 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at XIV Stanislaw Staszic High School in WarsawMaster's degree Computer Science, Master's degree Computer Science at University of Warsaw
English, Polish, German, Hebrew
Stackoverflow
13reputation
275reached
0answers
1question
Github Skills (12)
autoscaling10
kubernetes10
go10
cloud-services10
google-compute-engine10
cloud-integration10
cloud-computing10
kubernetes-pods10
apidoc9
api9
performance-optimization8
scrapy6
Programming languages (2)
Github contributions (5)
kubernetes/autoscaler
Oct 2020 - Jan 2023
Autoscaling components for Kubernetes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 211 reviews, 41 commits in 2 years 3 months
Contributions summary:Bartłomiej primarily contributed to the Google Compute Engine (GCE) integration within the Kubernetes autoscaler. Their work involved modifying the GCE price model to accurately reflect the pricing of custom instances based on their instance family type. Additionally, the user added support for fetching and using instance template names and kube-env variables to improve the handling of MIGs within the GCE cloud provider. These changes enhance the accuracy and functionality of the autoscaler within a GCE environment.
k8skubernetesautoscaling
BigDarkClown/autoscaler
Oct 2020 - Dec 2024
Autoscaling components for Kubernetes
Contributions:5 PRs, 191 pushes, 61 branches in 4 years 3 months
hands-onupstreamautoscalingk8skubernetes
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