Alon Maor
Software Engineer at Redis
Tel-Aviv, Tel-Aviv District, Israel
Summary
🤩
Rockstar🎓
Top SchoolAlon Maor is a software engineer with six years of hands-on experience building backend and DevOps solutions for cloud-native and security-focused companies. Currently studying Computer Science at UC Irvine while working at Redis, he has shipped production features at Palo Alto Networks and Check Point and improved large-scale data pipelines and ETL systems earlier in his career. Alon contributes to prominent open-source projects like nuclio and MLRun, where he focused on Kubernetes integration, ECR/Kaniko support, memory optimizations, and security contexts for MLOps workloads. He is proficient in Python, C++, Java and C#, and is comfortable across backend services, CI/CD, and infrastructure automation. Known for clean code and pragmatic problem solving, he brings both product-minded engineering and experience optimizing deployments in constrained environments. An interesting detail: his GitHub footprint highlights practical performance and deployment fixes (e.g., HTTP trigger memory tuning and ECR automation) that bridge developer tooling with production reliability.
6 years of coding experience
6 years of employment as a software developer
Associate's degree Transfer, Associate's degree Transfer at Los Angeles Pierce CollegeIroni GimelUniversity of California, Irvine
Hebrew, Spanish, English
Stackoverflow
1reputation
0reached
0answers
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Github Skills (18)
kubernetes10
docker10
python10
kaniko10
dockers10
cicd10
go10
mlops10
aws10
kubernetes-pods10
ecr10
serverless8
containerization8
container8
system-configuration7
Programming languages (7)
Github contributions (5)
mlrun/mlrun
Jul 2022 - Jan 2023
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:1416 reviews, 83 commits, 1328 PRs in 6 months
Contributions summary:Alon's contributions primarily focused on enhancing the build process and deployment capabilities within the MLRun MLOps platform. They implemented support for pushing images to ECR (Elastic Container Registry), including the creation of ECR repositories and the setup of appropriate IAM policies and secrets management. Furthermore, the user added security context support to the runtime environments and made various improvements related to image pull secrets for Spark jobs. These changes improved the platform's functionality and security.
experiment-trackingpythondata-sciencecmlmachine-learning
nuclio/nuclio
Jul 2021 - Dec 2022
High-Performance Serverless event and data processing platform
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:6 reviews, 17 commits, 25 PRs in 1 year 5 months
Contributions summary:Alon primarily contributed to the platform's backend functionality and infrastructure configuration. Their work involved validating and implementing features like node selectors, priority class names, and service types within the Kubernetes environment. They also addressed memory usage optimization in HTTP triggers and implemented ECR support with Kaniko for container image builds. Furthermore, the user worked on deployment flow improvements like preventing function updates during provisioning.
containersfaas-platformfunctionsdata-processingserverless
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