Wenquan Xing
Member Of Technical Staff at Magic
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolWenquan Xing is a seasoned backend engineer with 11 years building resilient, distributed systems and workflow orchestration at companies including Uber, Temporal, Cruise, AWS, and now Magic in Seattle. He led design and implementation of multi-datacenter workflow replication and conflict resolution for Cadence (an influential open-source orchestration engine) and contributed deep fixes and performance improvements to both Cadence and Temporal core services. His work spans production-grade matching engines, task-queue scalability, and client-side reliability features, reflecting a strong focus on consistency, availability trade-offs, and operational observability. Comfortable both rearchitecting cloud storage/replication stacks and shipping pragmatic bug fixes, he combines systems-level rigor from a Duke Computer Engineering master’s with hands-on open-source impact. An under-the-radar strength is his pattern of surfacing low-level metrics and logging improvements that unlock measurable reliability gains in complex distributed services.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at Duke University
Github Skills (23)
task-management10
back-end-development10
cadence10
distributed-systems10
go10
persistence10
performance-optimization10
golang10
functionfs10
orchestration10
backend10
concurrency10
debug9
error-handling9
grpc9
Programming languages (10)
Github contributions (5)
cadence-workflow/cadence
Dec 2017 - Jan 2020
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 releases, 430 commits, 969 PRs in 2 years 1 month
Contributions summary:Wenquan's commits focus on implementing and extending functionality related to the core of Cadence, a distributed workflow orchestration engine. Their work includes adding features for calculating cluster names, modifying existing methods for improved performance and reliability, and incorporating metrics. The contributions demonstrate a deep understanding of the project's internal workings.
cadenceresilientorchestration-engineservice-buslogic
temporalio/temporal
Nov 2019 - Nov 2022
Temporal service
Role in this project:Back-end Developer
Back-end DeveloperContributions:31 releases, 1807 reviews, 551 commits in 3 years 1 month
Contributions summary:Wenquan's commits primarily focus on improving the Temporal service's matching engine, a core component for workflow execution. They addressed rate limiting logic, error handling, and code duplication within the matching engine. Furthermore, the user added logging to the matching service and improved the task queue management by resolving performance issues within the database.
service-busmicroservice-orchestrationworkflow-automationworkflow-enginedocker
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