Bryce Soghigian
Senior Software Engineer at CoreWeave
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBryce Soghigian is a Senior Software Engineer with seven years of experience specializing in distributed systems, cluster autoscaling, and observability for cloud-native platforms. He drove Azure's Karpenter provider from preview to GA, enabling massive scale increases and significant cost and latency improvements, and later joined CoreWeave to continue advancing scheduling and autoscaling infrastructure. Bryce combines deep backend and DevOps expertise—evidenced by notable contributions to the Kubernetes autoscaler repo—with practical observability work that dramatically reduced Prometheus load across AKS. He’s comfortable across Go, Kubernetes, and cloud SDKs, and has a proven track record of building E2E testing frameworks, remediation systems, and enterprise features like BYO subnet and encryption-on-host. Colleagues rely on him for incident leadership and cross-team collaboration, and he brings an unusual mix of low-level platform tuning and large-scale product readiness to production clusters.
7 years of coding experience
5 years of employment as a software developer
Computer Science, Computer Science at Lambda SchoolLiberal Arts and Sciences, General Studies and Humanities, Liberal Arts and Sciences, General Studies and Humanities at Vermilion Community College
Stackoverflow
1reputation
55reached
1answer
1question
Github Skills (13)
autoscaling10
kubernetes10
go10
kubernetes-pods10
dockers9
testing9
cloud-infrastructure9
docker9
cloud-services9
nodejs6
mapbox-gl-js6
rest6
react6
Programming languages (15)
Github contributions (5)
kubernetes/autoscaler
Jan 2023 - Jan 2023
Autoscaling components for Kubernetes
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:95 reviews, 2 commits, 35 PRs in 8 days
Contributions summary:Bryce made significant contributions to the project's infrastructure and core logic. They modified existing code to introduce configurable memory difference ratios and addressed linting issues in the autoscaler configuration. Moreover, the user refactored the cloud provider's implementation of the `HasInstance` function. These changes indicate work on both backend and operational aspects of the Kubernetes autoscaler.
autoscalingkubernetes
Bryce-Soghigian/aks-karpenter
Nov 2023 - Oct 2025
Contributions:1 PR, 145 pushes, 29 branches in 1 year 11 months
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.