Open to opportunities

Steven Zhang

@stevenzhang3

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Staff software engineer specializing in full‑stack and distributed systems.

United States

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What I'm looking for

I am seeking senior engineering roles where I can architect scalable, secure cloud systems, mentor teams, and deliver high‑impact full‑stack and distributed solutions in a collaborative, engineering‑driven culture.

I am a Staff Software Engineer with deep experience building full‑stack, cloud‑native, and distributed systems for large‑scale production environments. I have led architecture and development efforts across healthcare and real‑time communications products, focusing on reliability, performance, and secure data integration.

At Salesforce I designed core Health Cloud platform capabilities, HL7/FHIR integration engines, event‑driven streaming pipelines, and AI/ML features that improved clinician workflows and enabled real‑time patient coordination. At Twilio I architected and optimized real‑time media infrastructure, SFU routing, and scalable backend services that supported millions of monthly users.

I bring hands‑on expertise in Java, Golang, Python, TypeScript, cloud platforms (AWS/GCP/Azure), Kafka, Kubernetes, observability tooling, and modern CI/CD/infra‑as‑code practices. I enjoy mentoring teams, driving architecture reviews, and delivering secure, compliant systems that meet demanding performance and scalability requirements.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Salesforce

Mar 2019 - Present (6 years 8 months)

Architected and led development of Health Cloud core platform, delivering real-time clinical data sharing, HL7/FHIR integration, and AI-assisted patient summarization to improve clinician workflow and reduce integration complexity for healthcare partners.

Java Spring Boot Python Kafka HL7 FHIR GraphQL AWS Redis Kubernetes

Senior Software Engineer

Twilio

Jun 2013 - Feb 2019 (5 years 8 months)

Led architecture and development of Programmable Video infrastructure, building SFU media routing, adaptive bitrate algorithms, and scalable backend services to improve stream stability and support millions of monthly users.