Co-drove the creation of a Go CLI tool for improving and safely executing daily infrastructure operations:

• Top contributor to the project. Assisted other teams in developing new features and migrating legacy tools.

• Contributed to establishing the tool as the de-facto standard for all SRE infrastructure operations.

• Leading a Roadmap for building a robust framework and improving many key components.

Led the infrastructure work on a new edge service written in Go to improve edge resiliency:

◦ Worked on the project from the POC phase until production rollout in less than a year.

◦ Helped with reviewing the service code and reducing deployment time by 90%

Led efforts to build the first GCP production environment on Kubernetes:

◦ Worked with stake holders from different teams on building and testing the new environment.

◦ Cross teams efforts on integrating internal tooling.

◦ Collaborated with the QA team to ensure infrastructure and product readiness before going live.

Enhancements to the disaster recovery processes:

◦ Mentored an intern in creating a Go tool reducing the DR process from several hours to one hour.

◦ Various collaborations with Eng teams on addressing new requirements while ensuring safe and fast failover.

Contributed to a cross-team project to move monolith apps from AWS EC2 to a Dockerized ECS architecture:

◦ Delivered the service mesh cluster using Consul and Envoy, and ensured production readiness.

◦ Planned and executed the service mesh cluster upgrade without downtime to +10 clusters.

Started a project to decouple two customer facing load balancer layers:

◦ The decoupling allows faster maintenance and scaling operations up to 6 times.

◦ Drove the initial architecture design and worked with the stake holders on addressing the requirements of the project.

• Worked with Eng teams on various improvements to a microservice architecture of around 150 services running on AWS ECS.

• Created and tested Python tools for improving various infrastructure operations.

• Planned and executed major improvements on Cassandra, Kafka, Elasticsearch and Zookeeper clusters without down time.

• Improved observability for different teams by delivering critical application and load balancer metrics.

• Contributions to design and build the first production Kubernetes cluster on GKE and Azure.

• Driving the infrastructure work on a data pipeline for tracking users events and reporting them to the business unit:

◦ Kafka, Elasticsearch and Cassandra on Kubernetes were used in the stack.

◦ Collaboration with the Eng team to design the data model and run benchmarking tests on the infrastructure.

• Created various Python tools for