Open to opportunities

Xinzhe Zhang

@xinzhezhang

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Senior software engineer building scalable, mission-critical systems across streaming, AI, and fintech.

United States

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What I'm looking for

I'm seeking a senior engineering role building cloud-native, mission-critical systems where I can lead backend and orchestration work, integrate AI workflows, improve observability, and mentor teams in a collaborative, product-focused environment.

I'm a Senior Software Engineer with a decade of experience designing and delivering high-scale, mission-critical systems across streaming, healthcare AI, and automotive fintech.

At Paramount I led the design and implementation of a scalable ad orchestration system (Ads Manager-Conduit) that unified targeting, pacing, and fallback rules across Paramount+ platforms, integrated with playback infrastructure, and built real-time logging and failover pipelines to maintain ad delivery SLAs.

At Paige I owned large-scale data pipelines and job orchestration for whole-slide pathology images, resolving large-file performance bottlenecks, building dashboards for operational visibility, and supporting end-to-end AI workflow integration.

Earlier at Tesla I scaled underwriting services, integrated ML outputs, implemented custom retry mechanisms, and mentored engineers—I'm passionate about cloud-native architectures, observability, and empowering cross-functional teams to ship resilient products.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Paramount

Apr 2023 - Jul 2025 (2 years 3 months)

Led development of Paramount Ads Manager-Conduit to unify ad targeting, campaign controls, and analytics across Paramount+; designed a scalable orchestration system integrated with SSAI to ensure accurate ad decisions and consistent playback while enabling automatic failover and SLA monitoring.

Python Java Spring Boot TypeScript React Docker Kubernetes AWS PostgreSQL Redis

Full-stack Developer

Paige

Apr 2019 - Mar 2023 (3 years 11 months)

Owned core infrastructure for pathological image workflows, building scalable data pipelines to ingest and serve 10GB+ whole-slide images and implementing job orchestration to ensure reliable, large-scale preprocessing and retry handling for AI pipelines.

Python Go React TypeScript Docker Kubernetes GCP Airflow

Software Engineer

Tesla

Jan 2015 - Mar 2019 (4 years 2 months)

Core backend engineer on the Underwriting team who scaled the platform to support double the products and expansion into five new regions by integrating ML outputs and refactoring contract aggregation services; designed a custom retry mechanism to improve resiliency and reduce manual intervention.