Leads by doing (not managing): guides engineers/teams through complexity and raises engineering standards through day-to-day actions.
Strong engineering fundamentals with a continuous improvement mindset; willing to learn the best tool/language for the problem.
Define reference architectures and reusable patterns for ingestion, transformation, and serving on GCP.
Modern delivery and operations experience: end-to-end ownership, continuous delivery/DevOps practices, and use of operational metrics (e.g., DORA).
Broad engineering exposure across platform/infrastructure/function-as-a-service, plus agile values-based delivery.
AI/ML technology evolution focus: stays current on applied Artificial Intelligence (including Generative AI) and identifies practical opportunities to embed AI into data and engineering workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality.