Chaz Berg

Senior Software Engineer with 14 years of experience building scalable, high-impact systems at OpenAI, Meta and Amazon. Strong expertise in backend development, AI infrastructure, distributed systems, and cloud-native architectures, with a proven track record of delivering high-performance, scalable, and production-ready applications for large-scale consumer and AI-driven platforms.

Member of Technical Staff - OpenAI

(2025-05)

• Owned end-to-end development of scalable backend services and AI infrastructure supporting Sora video generation workflows, optimizing GPU job orchestration, inference scheduling, and multimodal asset processing across high-throughput AI clusters.
• Built AI agent orchestration systems using Python, TypeScript, FastAPI, Node.js, and OpenAI APIs, enabling autonomous multi-step reasoning, tool execution, memory management, and workflow automation for internal engineering productivity platforms.
• Implemented scalable observability and monitoring solutions using OpenTelemetry, Datadog, Grafana, and divided tracing to improve debugging, GPU utilization visibility, and production reliability across AI services.
• Developed scalable AI agent platform and infrastructure supporting Sora generation and AI workflows.

Senior Software Engineer - Meta

(2014-10 - 2025-04)

• Drove end-to-end development of Meta Data Insights Platform, delivering scalable Full Stack solutions serving millions of daily active users across web platforms.
• Built modern frontend applications using React, TypeScript, and Next.js, implementing server-side rendering (SSR) and optimized data-fetching strategies to improve performance, SEO, and time to interactive by 35%.
• Implemented scalable, event-driven backend workflows integrating with distributed systems (Kafka), enabling real-time notifications, feature experimentation, and analytics processing.
• Enhanced database access patterns across PostgreSQL and caching layers (Redis), reducing API response latency and improving system resiliency under peak traffic loads.
• Established comprehensive testing and CI/CD pipelines using Jest, Cypress, Docker, and Kubernetes, reducing regression rates and accelerating safe production deployments.
• Partnered cross-functionally with product, design, data science, and infrastructure teams to drive architectural decisions, ensuring performance, reliability, and long-term maintainability at scale.
• Introduced a monorepo architecture using NestJS with shared TypeScript models and validation layers, improving developer productivity, reducing integration defects and enabling faster cross-team feature delivery.

SDE - Amazon

(2011 - 2014-08)

• Contributed to the development of Amazon Product Catalog Services, powering large-scale product data management and high-throughput retail platform operations.
• Designed distributed microservices and RESTful APIs using Java, enabling scalable service-to-service communication across internal platforms.
• Optimized data persistence and caching strategies, reducing latency and improving throughput for high-volume transactional workflows.
• Strengthened resiliency through fault-tolerant patterns, retry mechanisms, and monitoring/alerting solutions, strengthening production stability.
• Collaborated with product managers, QA, and cross-functional engineering teams to ship customer-facing features end-to-end in a fast-paced Agile environment.
• Supported operational excellence through on-call support, root cause analysis, and postmortems, driving continuous performance and reliability improvements.
• Participated in on-call rotations, performing root cause analysis and production troubleshooting, driving continuous improvement in system stability and operational readiness.

Bachelor of Science - Computer Science - University of Washington (2005 - 2009)