Available to hire
I’m Kevin Ng, a Senior Backend Engineer with experience building scalable, high-performance systems across EdTech, e-commerce, and ordering platforms. I specialize in cloud-native architectures, microservices, real-time data pipelines, and delivering reliable, high-impact backend solutions through cross-functional collaboration.
I enjoy turning complex technical challenges into robust, observable systems that empower product teams to move quickly and confidently.
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
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Expert
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Intermediate
Language
Javanese
Advanced
Aragonese
Advanced
Work Experience
Senior Backend Engineer at PayTronix
July 1, 2025 - September 22, 2025Developed scalable, reliable backend features for a multi-tenant ordering platform on AWS using microservices and event-driven architecture. Improved observability, CI/CD processes, and delivery through Agile collaboration. Designed modular menu and checkout services with tenant isolation and real-time responsiveness; implemented a customizable menu and cart with sub-300ms latency using Redis, DynamoDB, and asynchronous validation. Built a fault-tolerant checkout backend enabling split payments and real-time item/time-slot validation, achieving 99.9% reliability during peak load and preventing partial order failures via idempotent APIs. Configured centralized observability and independent pipelines for microservices, reducing deployment time by 40%.
Backend Engineer at Allbirds
November 1, 2021 - September 22, 2025Architected a real-time ETL pipeline to ingest Shopify Plus data, delivering low-latency, fault-tolerant analytics. Built scalable data models and dynamic filtering for product, region, campaign, and customer segment breakdowns, powering fast dashboards and GraphQL/REST APIs. Implemented full observability across the data pipeline and APIs with structured logging, tracing, and alerts, reducing debugging time and boosting data reliability.
Backend Engineer at BlackBoard
March 1, 2017 - September 22, 2025Enhanced LMS analytics data collection and monitoring. Improved event ingestion pipeline with Kafka streaming and deduplication, boosting data accuracy and freshness for engagement analytics. Contributed to ETL pipeline monitoring by supporting logging and alerting processes, enabling quicker issue detection and improved data accuracy.
Education
Bachelor's Degree in Computer Science at The University of Texas at Austin
May 1, 2011 - May 1, 2015Qualifications
Industry Experience
Software & Internet, Education, Retail, Media & Entertainment
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
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