Eric George

Senior Python / DevOps Engineer – ML Platform

Weights & Biases

Feb 2022 - Current (4 years 5 months)

Weights & Biases provides ML experiment tracking and model observability tooling for distributed ML workflows. Kubernetes & Platform Architecture • Architected and maintained multi-tenant Kubernetes (EKS) clusters supporting large-scale ML experiment tracking workloads processing millions of metric events per hour with 99.99% uptime. • Designed Horizontal Pod Autoscaling and cluster autoscaler strategies to dynamically scale ingestion workers based on CPU and queue depth metrics, reducing compute waste by 27% while maintaining low-latency ingestion. • Implemented pod disruption budgets and readiness/liveness probes to ensure zero-downtime rolling deployments. Infrastructure as Code & Cloud Automation • Developed reusable Terraform modules t

Senior Backend / Infrastructure Engineer

Confluent

Feb 2019 - Jan 2022 (3 years)

Confluent builds enterprise-grade event streaming infrastructure around Apache Kafka. High-Throughput API Services • Built high-performance REST APIs using FastAPI with async/await concurrency to process high-volume Kafka-backed event ingestion systems. • Reduced API latency by 28% after migrating synchronous endpoints to asynchronous I/O operations. Kafka Event Processing & Distributed Challenges • Developed distributed consumer services processing millions of streaming events daily with strict ordering guarantees. • Reduced consumer lag by 30% through partition tuning and horizontal scaling of consumer groups. • Implemented idempotent processing logic and structured retry mechanisms with exponential backoff to prevent duplicate event side

Infrastructure Software Engineer

GitLab

Feb 2016 - Jan 2019 (3 years)

GitLab provides a full DevOps lifecycle platform with CI/CD and source management. CI/CD Backend Systems (Flask) • Developed internal microservices using Flask to support CI runner orchestration and distributed job scheduling logic. • Optimized job queue prioritization algorithms, reducing average build wait times by 35%. • Resolved race conditions in pipeline state transitions using optimistic locking techniques. Containerization & Environment Consistency • Assisted in containerizing legacy services using Docker, reducing environment-specific deployment failures. • Contributed to early Kubernetes adoption for staging environments, enabling consistent and reproducible deployments. Database & Reliability Improvements • Improved PostgreSQL co

Python Backend Developer

Squarespace

Jun 2014 - Jan 2016 (1 year 8 months)

Squarespace is a SaaS platform powering millions of websites and merchants. Django REST API Development • Developed RESTful backend services using Django + Django REST Framework to power merchant analytics dashboards. • Refactored monolithic views into modular service layers, improving maintainability and reducing request processing time by 22%. • Resolved N+1 query inefficiencies using select_related and prefetch_related, improving query efficiency under high traffic. Asynchronous Processing with Celery • Implemented Celery-based background workers to decouple heavy report generation and billing processes from synchronous web requests. • Solved queue bottlenecks by separating CPU-bound and I/O-bound worker pools, reducing timeout errors by

About

Detail

Timeline

Résumé