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David Olivas

@davidolivas1

Senior/Staff Software Engineer specializing in high-scale payments, fraud, and data systems.

United States
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What I'm looking for

I seek senior engineering roles building reliable, large-scale systems (payments, fraud, real-time data) with strong engineering culture, mentorship opportunities, and global impact.

I am a Senior/Staff Software Engineer with 10+ years designing and operating high-scale systems at Stripe and Google. I focus on payment platforms, AI-driven fraud prevention, and real-time data infrastructure that handle massive global volumes.

At Stripe I architected and scaled core Payments API services and Radar fraud systems using Go, gRPC, Kubernetes, and AWS, contributing to systems that process trillions in annual volume and reduce fraud incidents. I built data pipelines, observability, and dashboards, and integrated internal LLM tools to simplify complex queries for teams.

At Google I led backend and real-time pipeline work for YouTube recommendations, improving engagement and performance through scalable Java/Python services, Pub/Sub, and Bigtable. I also drove multi-cloud CI/CD strategies and cost optimizations across cloud storage and data transfer.

I mentor engineers, champion API and observability best practices, and enjoy building reliable, testable systems end-to-end—from backend services to production UIs. I seek roles where I can drive technical direction, scale critical infrastructure, and help teams grow.

Experience

Work history, roles, and key accomplishments

Stripe logoST
Current

Staff Software Engineer

Aug 2020 - Present (5 years 7 months)

Architected and scaled core Payments API and AI-driven fraud platform (Radar) using Go, gRPC, and Kubernetes to process trillions in annual volume and improve global payment reliability; led API design and observability efforts that reduced fraud and enhanced system consistency.

Google logoGO

Senior Software Engineer

Jan 2015 - Feb 2020 (5 years 1 month)

Designed and implemented backend services and real-time event pipelines for YouTube recommendations, increasing suggested video engagement by 8% and improving frontend performance with optimized caching and lazy loading.

Education

Degrees, certifications, and relevant coursework

University of Texas at Austin logoUA

University of Texas at Austin

Bachelor of Science, Computer Science

2010 - 2014

Completed a Bachelor of Science in Computer Science with coursework and projects focused on software engineering, systems, and data processing.

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