Aldo Culquicondor
Senior Software Developer at Google
Canada
Summary
🤩
Rockstar🎓
Top SchoolAldo Culquicondor is a Senior Software Developer with 14 years of experience specializing in performance and backend systems, currently improving Chrome for Android at Google. He has deep expertise in Kubernetes and cloud-native infrastructure, contributing notable performance and API enhancements to flagship projects like kubernetes/kubernetes and client-go. His work spans scheduler optimization, job APIs, and operator reliability—often reducing locks and parallelization overhead to boost throughput at scale. Earlier roles include backend GIS systems and contributions to Knative and TileStache, reflecting a practical blend of systems engineering and DevOps. Based in Canada, he brings a pragmatic focus on measurable performance gains and a habit of improving testability and observability in complex distributed systems.
14 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Universidad Católica San PabloBachelor of Science (B.Sc.), Telecomunications Engineering, Bachelor of Science (B.Sc.), Telecomunications Engineering at Universidad Nacional de Ingeniería
English, Portuguese, Spanish
Stackoverflow
38reputation
964reached
2answers
1question
Github Skills (53)
kubernetes10
docker10
python10
kubernetes-apiserver10
api-design10
testing10
mapnik10
dockers10
cicd10
scheduler10
go10
performance-optimization10
kubernetes-pods10
serverless10
g10
Programming languages (18)
Github contributions (5)
kubernetes-sigs/kueue
Nov 2021 - Jan 2023
Kubernetes-native Job Queueing
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:25 releases, 3505 reviews, 153 commits in 1 year 2 months
Contributions summary:Aldo primarily contributed to the implementation of core backend logic, event handling, and internal caching mechanisms. Their work involved the modification of Go code related to Kubernetes job queueing, capacity management, and controller implementations. Further, the user was also involved in creating and maintaining the API for the Kubernetes job queueing system.
k8s-sig-schedulingjobk8skubernetesqueueing
kubeflow/mpi-operator
May 2021 - Dec 2022
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
Role in this project:DevOps & Backend Engineer
DevOps & Backend EngineerContributions:246 reviews, 34 commits, 39 PRs in 1 year 7 months
Contributions summary:Aldo primarily worked on the Kubernetes operator for MPI-based applications. Their contributions involved upgrading dependencies to Kubernetes 1.19, implementing integration tests, and consolidating validation and defaulting logic. They also made changes related to SSH authentication, Intel MPI support, and managing launcher through a Kubernetes Job, showcasing expertise in deployment, testing, and system configuration within a Kubernetes environment.
pytorchmpihorovoddistributed-applicationsoperator
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