Rahul Rangith
Senior Software Engineer at Datadog
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolRahul Rangith is a Senior Software Engineer with eight years of experience building cloud-native infrastructure and scalable backend systems, currently at Datadog in Toronto. He specializes in Go and Kubernetes, having designed custom controllers and autoscaling logic that saved millions in compute costs while improving resiliency and reducing manual toil. Rahul is an active open-source contributor to high-profile projects like the Kubernetes autoscaler—adding Azure VMSS auto-discovery and robustness fixes—and has a track record of shipping production-ready tooling across multi-cloud environments. His background spans backend services, DevOps automation, and performance-focused migrations, from reducing daily job runtimes to moving thousands of nodes to remote storage. Pragmatic and curious, he pairs systems-level thinking with hands-on implementations—from Terraform-managed infra to Kubernetes custom resources—and mentors others through incremental, actionable guidance.
8 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at Richmond Hill High SchoolBachelor of Applied Science - BASc Computer Engineering, Bachelor of Applied Science - BASc Computer Engineering at University of Waterloo
English, Tamil
Github Skills (10)
kubernetes10
azure10
go10
microsoft-azure10
cloud-computing10
back-end-development10
kubernetes-pods10
testing9
grpc8
cicd7
Programming languages (7)
Github contributions (5)
kubernetes/autoscaler
Apr 2023 - Feb 2025
Autoscaling components for Kubernetes
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:4 reviews, 12 PRs, 22 comments in 1 year 10 months
Contributions summary:Rahul contributed to the Azure cloud provider implementation within the Kubernetes autoscaler project. Their work involved defining and integrating node group auto-discovery functionality, specifically focusing on Azure Virtual Machine Scale Sets (VMSS). The user also made changes to the expander, addressing potential issues with handling empty gRPC BestOptions responses. Additionally, the user updated the list of Azure instance types to reflect the current Azure SKUs.
k8skubernetesautoscaling
rrangith/rrangith
Jul 2020 - Feb 2025
Contributions:4 pushes, 1 branch in 4 years 7 months
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