Senior Director, Platform Engineering - Enterprise Technology

<div class="content-intro"><h2 data-pm-slice="1 1 []">About Crunchyroll</h2> <p>Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.</p> <p>Join our team, and help us shape the future of anime!</p></div><h2>About the role</h2> <p data-pm-slice="1 1 []">Enterprise Technology Platform Engineering powers the infrastructure foundation that enables enterprise systems and distributed systems at scale. As Enterprise Technology continues to expand its platform footprint, this role will shape and lead our next generation platform, driving infrastructure strategy, DevOps maturity, SRE excellence, and scalable automation. You will define how the platform operates at scale, establish reliability standards, enable high velocity development, and ensure governance and operational discipline are built into the system by design.</p> <p>In the role of Senior Director, Platform Engineering, you will report to the VP, Enterprise Technology.&nbsp;We are considering applicants for the location of Dallas (in-office Tuesdays, Wednesdays, and Thursdays).</p> <h2 data-pm-slice="1 3 []">You will:</h2> <ul> <li>Define and lead platform strategy to support enterprise systems and distributed systems at scale.</li> <li>Build and scale Infrastructure, DevOps, and SRE organizations across multiple teams and leaders.</li> <li>Establish modern reliability practices, including SLIs, SLOs, observability, incident management, and error budgets.</li> <li>Drive automation first infrastructure, CI CD maturity, and infrastructure as code standards.</li> <li>Partner with Security to embed guardrails and policy enforcement into platform architecture.</li> <li>Design and scale infrastructure to support enterprise applications and data intensive workloads.</li> <li>Enable platform capabilities for data intensive and model driven workloads, including scalable compute, data pipelines, and production deployment systems.</li> <li>Define platform standards for integrating data driven and model based systems into production environments, including training, deployment, and monitoring workflows.</li> <li>Drive adoption of advanced automation and data driven operational practices including anomaly detection, predictive scaling, and operational insights.</li> <li>Establish a long term platform operating model that supports high velocity engineering.</li> <li>Provide executive visi