Dinidu Sandaruwan
Lead Platform Engineer
Federal Territory of Kuala Lumpur, Malaysia
Summary
👤
Senior🎓
Top SchoolDinidu Sandaruwan is a Lead Platform Engineer with a decade of experience designing and delivering cloud-native infrastructure and observability platforms for enterprise and financial clients. He combines hands-on skills in Terraform, Kubernetes (AKS/EKS), GitOps (ArgoCD/Flux), and security tooling (Aqua, KubeBench) with client-facing responsibilities from pre-sales to delivery planning. Notable work includes architecting a greenfield hybrid-cloud landing zone and consolidated “single pane of glass” monitoring for a UAE digital bank, and building open-source Prometheus/Cortex-based monitoring solutions. He pairs an academic background in AI with practical experience in CI/CD, static analysis, and test automation to improve software supply chains and compliance. Columbo-based and comfortable operating across Azure and AWS, he brings both technical depth and a track record of translating complex requirements into auditable, production-ready platforms.
9 years of coding experience
5 years of employment as a software developer
Master of Science, Artificial Intelligence, Master of Science, Artificial Intelligence at University of MoratuwaAdvanced Level, Physical Sciences, Advanced Level, Physical Sciences at Bandaranayake Central College
English
Github Skills (7)
fluentd8
logging8
ruby7
kubernetes5
docker4
backend3
nodejs2
Programming languages (6)
Github contributions (5)
Dinidu/MLP_EVALUATION
Nov 2018 - Mar 2020
TensorFlow model to do digit classification using the MNIST data set. MNIST is a labeled set of images of handwritten digits.
Contributions:9 pushes, 1 branch in 1 year 4 months
digitdata-setdeep-learninghandwritten-digitsto-do
Dinidu/gitops-cd
Aug 2021 - Sep 2021
Contributions:23 pushes, 3 branches in 15 days
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