Or Elimelech
Consultant at Or Elimelech
Israel
Summary
🤩
Rockstar🎓
Top SchoolOr Elimelech is a consultant and seasoned Site Reliability/DevOps engineer with 12 years of experience building and operating cloud-native systems across startups and scaleups in Israel. He has led SRE teams and infrastructure efforts at companies like Torq, MIND and Apester, and recently contributed backend and DevOps improvements to open-source feature-flagging projects such as Flipt and Flagr—implementing batch evaluation and Google Cloud Pub/Sub integration for production-grade telemetry. Comfortable across backend services, gRPC APIs, and cloud platforms, he blends hands-on coding with operational rigor to ship reliable, observable systems. Trained in computer science and multiple infrastructure certifications, he brings a pragmatic emphasis on automation and resilient architectures that help startups grow.
12 years of coding experience
15 years of employment as a software developer
Information Security, Information Security at MatrixMachine learning using Tensorflow Machine learning, Machine learning using Tensorflow Machine learning at Google CloudVMWare Certified Professional VCP, VMWare Certified Professional VCP at John BryceBachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at The Open University of Israel
English, Hebrew
Github Skills (17)
back-end-development10
protocol-buffers10
feature-flags10
runtime-configuration10
gcp10
go10
backend10
pubsub10
autoconfiguration10
grpc10
golang9
swagger8
grpc-gateway8
testing7
continuous-delivery7
Programming languages (15)
Github contributions (5)
flipt-io/flipt
Jun 2020 - Jan 2021
Enterprise-ready, GitOps enabled, CloudNative feature management solution
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 9 commits, 2 PRs in 7 months
Contributions summary:Or contributed to the implementation of batch evaluation functionality within the gRPC service. This involved modifying the `flipt.proto` file to include new request and response structures. The user also updated the server-side code in `server/evaluator.go` to handle the batch evaluation requests. These changes demonstrate a focus on extending the feature flag management capabilities of the system.
golangreactdevopsfeature-flaggrpc
openflagr/flagr
Jan 2019 - Feb 2019
Flagr is a feature flagging, A/B testing and dynamic configuration microservice
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:24 commits, 3 PRs, 9 comments in 7 days
Contributions summary:Or primarily contributed to implementing Google Cloud Pub/Sub integration for data recording within the feature flagging microservice. Their work involved creating new components and modifying existing ones to support asynchronous data logging to Pub/Sub, including adding configuration options and tests. They also made changes to the UI to include the Pub/Sub data records. Further, they optimized the code by changing the way it gets the pubsub client.
golanga-b-testingflaggingtestingab-testing
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