Gall Steinitz is a Staff Engineer in San Francisco with 17 years of experience building reliable, developer-focused systems across Ruby on Rails, observability tooling, and ML-augmented platforms. At DataGrail he led the development of a privacy-risk detection platform that blends LLMs, traditional machine learning, and human review, while championing CI/CD and instrumentation culture. Previously he helped modernize observability at Shopify and drove large-scale decomposition and product launches at Stitch Fix, demonstrating a knack for turning monoliths into measurable, service-oriented platforms. A pragmatic engineering leader, he emphasizes outcome-driven collaboration and developer enablement, often evangelizing best practices rather than dogma. He contributes to the VCR open-source gem and brings a rare mix of hands-on engineering, product sensitivity, and experience scaling systems for peak traffic. Gall’s background—from military-grade database optimization to consumer-facing product launches—gives him both deep technical rigor and an instinct for user-centered design.
17 years of coding experience
28 years of employment as a software developer
Computer Science Engineer (HANDESAI) Computer Science, Computer Science Engineer (HANDESAI) Computer Science at MAMRAM - Israeli Defense Forces School of Computer Science
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