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Benjamin White

@benjaminwhite

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Staff software engineer building scalable, event-driven platforms and APIs.

United States

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What I'm looking for

I want to lead architecture for scalable, event-driven systems—partnering with strong teams to deliver reliable APIs and data pipelines on AWS, while mentoring engineers and improving observability, performance, and deployment automation.

I’m a Staff Software Engineer who leads architecture and development of multi-channel platforms, helping sellers operate across Amazon, Shopify, eBay, and Walmart at scale.

I build distributed, event-driven microservices and low-latency APIs using Java, Go, Python, and Ruby—using Kafka with SNS/SQS and robust design patterns to improve real-time processing, responsiveness, and reliability.

I also drive modernization and operational excellence on AWS with ECS/Lambda/S3, Docker, and Terraform, strengthening observability and incident response through tools like Datadog and Prometheus. I bring a strong engineering leadership mindset—owning design reviews, mentoring teammates, and setting best practices.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Amazon

Apr 2019 - Present (7 years 2 months)

Led the architecture and development of the Veeqo multi-channel shipping and inventory platform, enabling sellers to manage operations across Amazon, Shopify, eBay, and Walmart at scale. Built event-driven, low-latency services and ETL pipelines on AWS, improving reliability and responsiveness while helping relaunch Veeqo as a large-scale SaaS offering.

Java Go Python Kafka AWS ECS Lambda S3 Microservices Architecture gRPC Terraform Prometheus

Junior Software Engineer

The Walt Disney Company

Mar 2010 - Sep 2015 (5 years 6 months)

Developed and maintained scalable backend systems for media and streaming platforms supporting millions of users globally. Delivered high-traffic RESTful APIs, interactive frontend experiences, and ML-based recommendations, while optimizing database performance across MySQL and MongoDB.