Yusuke Doi
@yusukedoi
Senior software engineer building AI infrastructure, distributed systems, and cloud-native platforms at global scale.
JapanWhat I'm looking for
I’m a Senior Software Engineer specializing in AI infrastructure, distributed systems, and cloud-native platforms. I build scalable backend services, observability frameworks, and AI-driven automation systems used by hundreds of millions of users.
Most recently, at Anon (Remote), I designed backend services that let AI agents securely authenticate and interact with third-party platforms without native APIs. I built scalable REST and async APIs with FastAPI, delivered Next.js workflow tooling for configuration and debugging, and architected distributed services for automated browser-based extraction and cross-system workflow execution.
Previously at Meta, I led the development of a flexible observability foundation for AI infrastructure and internal tooling, enabling streamlined research-to-production workflows. I embedded structured tracing, real-time monitoring, and telemetry into core AI systems for transparency and low-latency diagnostics, and I architected logging/telemetry infrastructure for AR/MR devices to support reliable edge-to-backend data flow.
At Amazon, I worked on platform services powering Prime Video homepage metadata across devices and dimensions, plus dynamic configuration for personalization. Earlier at Microsoft, I developed core C++ libraries powering Mail & Calendar at Windows scale, improved test and build performance, and shipped cross-device notification features used by 100M+ users—grounded in a focus on reliability, measurable performance, and fast feedback loops.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Anon
Aug 2023 - Jan 2026 (2 years 5 months)
Designed and implemented backend services enabling AI agents to securely authenticate and interact with third-party platforms without native APIs. Built FastAPI-based REST/async automation APIs, observability (logging, tracing, metrics), and LLM-driven workflow orchestration deployed with Docker on AWS.
Led development of an observability foundation for AI infrastructure and internal tooling to support scalable research-to-production workflows. Built modular, distributed agent behavior frameworks and integrated structured tracing, real-time monitoring, and telemetry across AI inference and AR/MR device pipelines.
Contributed to platform services powering Prime Video homepage metadata (icons, text, and configurable carousels) across devices and geographies. Built and maintained an end-to-end benchmarking test suite, generated millions of daily latency/error metrics, and helped design an AWS IoT-based next-generation benchmarking platform using ML for robustness.
Developed a core C++ library powering Mail & Calendar across Windows and companion Outlook clients for 600M+ monthly active users. Improved unit test runtime by 90% (50 min → 5 min), reduced cloud build pipeline time by 60% (~2 hours), increased app startup performance by 30%, and reduced memory churn by 50% (~40MB), while delivering cross-device notification features reaching 100M+ users.
Education
Degrees, certifications, and relevant coursework
University of Washington
Master of Science in Computer Science, Computer Science
2010 - 2012
Earned a Master of Science in Computer Science at the University of Washington from 2010 to 2012.
University of Washington
Bachelor of Science in Computer Science, Computer Science
2006 - 2010
Earned a Bachelor of Science in Computer Science at the University of Washington from 2006 to 2010.
Tech stack
Software and tools used professionally
Availability
Location
JapanAuthorized to work in
Website
yusukedoi.netlify.appJob categories
Skills
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