Carl Zhang
@carlzhang
I am a Senior Software Engineer specializing in Go microservices and real-time data systems.
What I'm looking for
I am a Senior Software Engineer focused on designing and implementing scalable, high-performance microservices and backend systems using Go (Golang). I build real-time data pipelines, event-driven architectures, and robust API services that prioritize reliability and maintainability.
Across fintech, analytics, and streaming domains I have improved API response times by 25%, increased system throughput by 30%, and helped platforms achieve high availability (up to 99.99%+). I implement automated testing (over 90% code coverage), observability with Prometheus and Grafana, and cost optimizations for cloud storage.
I embrace cloud-native technologies, container orchestration, and accessibility best practices (WCAG 2.0 AA), and I enjoy delivering end-to-end solutions—from backend microservices and data pipelines to React/Angular operational dashboards—while driving measurable operational and business improvements.
Experience
Work history, roles, and key accomplishments
Designed and implemented Go-based streaming and workflow platforms with Kafka and Azure Functions, reducing API response times by 25% and improving throughput by 30%. Instrumented services with Prometheus/Grafana and automated tests to cut incident response times 45% and achieve >90% test coverage.
Software Engineer
Notable
Mar 2023 - Jul 2024 (1 year 4 months)
Built secure, high-throughput ML analytics data platforms with Go, Spark, and Airflow, achieving 99.99% uptime and processing over 5M daily events. Developed reactive ETL workflows and led accessibility improvements that increased usability by 20%.
Created low-latency account services with Go and .NET Core achieving 99.999% uptime for millions of users and architected distributed pipelines that increased throughput 35%. Enabled zero-downtime deployments and improved test automation to reduce regression cycles 40%.
Engineered scalable financial data services with Go and Java on Azure, authoring RESTful and gRPC APIs to accelerate partner integration. Integrated Prometheus/Grafana monitoring to reduce incident response times by 45%.
Software Engineer
CAST Group of Companies
May 2017 - Aug 2018 (1 year 3 months)
Developed interactive React/Redux applications with D3.js visualizations that increased user engagement 30% and optimized front-end performance. Containerized services with Docker and orchestrated deployments using Kubernetes to enable seamless scaling.
Education
Degrees, certifications, and relevant coursework
University of Toronto
Bachelor of Applied Science, Computer Engineering
2014 - 2019
Completed a Bachelor of Applied Science in Computer Engineering at the University of Toronto from February 2014 to November 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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