Teams at Scientific Games

Build, operate, and modernize scalable data pipelines and warehouse environments for lottery reporting, analytics, and AI readiness. Improve ingestion, transformations, data models, contracts, observability, lineage, and onboarding patterns. Automate operations, troubleshoot production issues, mentor engineers, and support migration from legacy to cloud architectures while ensuring data quality, reliability, and regulatory continuity.

Senior Product Engineer will build new products and prototypes, improve legacy systems, use AI-assisted tools to accelerate development, define specs and tests, enforce strong automated testing and CI/CD, partner across product and ops, and drive production-ready, observable, and maintainable releases.

Build and run a centralized AI-enabled process re-engineering capability: diagnose current workflows, design AI-assisted solutions (retrieval, drafting, agents, orchestration), run controlled pilots with evaluation and human review, create reusable playbooks/governance, partner cross-functionally, manage vendors and TPMs, and deliver measurable business outcome improvements.