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Chi Wu

@chiwu

Software Engineer specializing in telemetry infrastructure and cloud-scale data platforms.

United States
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What I'm looking for

I’m looking for a team where I can build telemetry/data platforms at cloud scale—owning reliability, performance, and developer velocity—while collaborating cross-functionally and shipping event-driven features with strong observability and automation.

I’m a Software Engineer specializing in telemetry infrastructure and data platforms, with 7+ years building cloud-scale telemetry systems and real-time engagement platforms. At Datadog, I architected unified telemetry ingestion processing trillions of daily data points using Go, Python, and Kotlin services on Kubernetes with AWS MSK and SQS.

I focus heavily on reliability and speed: I re-architected the internal gRPC service mesh with custom least-loaded connection pooling, cutting end-to-end event processing latency by 40% while maintaining 99.9%+ availability. I also improved deployment velocity by moving to multiple daily deploys and reduced MTTD by 60% using OpenTelemetry instrumentation.

I partner closely with Data Science and Product to turn telemetry needs into shipped features, and I mentor engineers while driving architecture via RFCs and async-first collaboration. I’ve also built an AI-assisted debugging workflow (Cursor Rules and a Copilot extension) that reduced MTTR for common ingestion issues by 45% and onboarding time by 25%.

Experience

Work history, roles, and key accomplishments

Datadog logoDA
Current

Software Engineer

Jun 2022 - Present (4 years)

Architected Datadog unified telemetry ingestion components processing trillions of daily metrics, traces, and logs using Go/Python/Kotlin microservices on Kubernetes with AWS MSK Kafka and SQS decoupling. Reduced end-to-end event processing latency by 40%, improved reliability to 99.9%+, cut cloud compute costs by 25%, and increased deployment frequency while reducing MTTD by 60%.

Peloton Interactive logoPI

Software Engineer

Feb 2019 - Jun 2022 (3 years 4 months)

Designed and built Peloton real-time leaderboard and social engagement microservices serving 6+ million members with low-latency updates and analytics-ready historical data. Handled 100K+ requests per second with under 50ms p95 latency using Redis/Memcached, deployed event-driven pipelines processing tens of millions of daily events, and reduced infrastructure costs by 30%.

eBay logoEB

Software Engineering Intern

eBay

May 2018 - Aug 2018 (3 months)

Developed search result caching and optimization features for eBay's marketplace platform using Java and Hibernate, implementing Redis-based caching to reduce database query load and improve page load times.

Education

Degrees, certifications, and relevant coursework

Georgia Institute of Technology logoGT

Georgia Institute of Technology

Master of Science in Computer Science, Computer Science

2017 - 2018

M.S. in Computer Science at Georgia Institute of Technology from 2017 to 2018.

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