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Lead a team of 5+ engineers building scalable game-platform services (game provisioning, data delivery, leaderboards). Manage hiring, onboarding, performance, and career growth. Own technical roadmap, design reviews, code reviews, and live service operations including on-call troubleshooting and cross-team collaboration to ensure reliability and scalability.

Lead multiple engineering teams for VALORANT, overseeing service development, performance management, and cross-team collaboration, while driving technical direction and operational excellence.

Lead and execute cross-team initiatives to improve developer experience: build production AI integrations and developer tools, define build/release standards, eliminate CI/source-control bottlenecks, and drive technical strategy and operational excellence across Riot.

As a Staff Software Engineer at Riot Games, you'll enhance developer experience and efficiency across VALORANT by designing tools, mentoring junior engineers, and influencing best practices in a collaborative environment.

Lead development of Riot Esports web applications using web technologies; provide technical leadership, architecture, mentorship, cross-functional collaboration, on-call incident response, and own long-running features from planning through release.

Lead regional publishing strategy across the Americas, align subregional plans with global priorities, manage budgets, track performance, build partner relationships, and drive cross-functional initiatives to deliver player-focused outcomes.

Lead development of VALORANT build and developer-facing platforms. Improve iteration workflows across local development, Unreal build/cook systems, CI, release infrastructure, and tooling. Drive architecture and long-term initiatives, resolve cross-system bottlenecks, collaborate with stakeholders, mentor engineers, and participate in support rotation.

Lead design and build of shared backend platform services and internal tools for anti-cheat systems. Own APIs, ensure reliability, operate distributed high-availability services, improve CI/CD and observability, partner across teams for incident response, security, and platform reliability.

Architect, build, and operate ML inference and deployment infrastructure (model serving, orchestration, CI/CD, feature stores). Improve developer experience, optimize GPU/CPU scheduling and performance, and establish ML deployment best practices across Riot’s production ML ecosystem while shaping long-term platform direction.

Lead the integration of modern AI practices, provide mentorship, and develop scalable solutions across teams at Riot Games, focusing on enhancing their AI capabilities.