Crunchyroll, LLC

Media

SeniorDirector,PlatformEngineering

$230–350k ~AI est. Dallas, Texas, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Senior Director, Platform Engineering at Crunchyroll, LLC. Skills: Platform Engineering, Infrastructure, DevOps, SRE. Define platform strategy. Lead platform strategy”

What You'll Achieve.

Ensure scalability; Ensure resilience; Ensure efficiency

Industry & Context.

Media
Eligibility Requirements

In-office Tuesdays, In-office Wednesdays, In-office Thursdays

What They're Looking For.

Must Have

15+ years platform engineering experience, 7+ years leading managers, Experience leading large scale organizations, Experience defining platform strategy, Deep expertise distributed systems, Deep expertise infrastructure automation, Deep expertise modern platform architectures, Experience supporting large scale data platforms, Experience leading DevOps adoption, Experience leading SRE adoption, Experience partnering with Security teams, Experience partnering with Data teams, Experience operating platforms multi-cloud, Experience with AWS, Experience with GCP

Nice to Have

Experience with advanced processing workloads

What You'll Do.

Define platform strategy

Lead platform strategy

Build Infrastructure organizations

Scale Infrastructure organizations

Build DevOps organizations

Scale DevOps organizations

Build SRE organizations

Scale SRE organizations

Establish reliability practices

Drive automation first infrastructure

Drive infrastructure as code standards

Partner with Security

Embed policy enforcement

Design infrastructure

Enable platform capabilities

Define platform standards

Integrate data systems

Integrate model systems

Drive adoption automation practices

Drive adoption data driven practices

Establish platform operating model

Support high velocity engineering

Provide executive visibility

Align platform evolution

How You'll Work.

Team & Collaboration

Cross functional alignment; Partner with Security; Partner with Data teams

Communication Scope

Executive visibility

Full Job Description

About Crunchyroll 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. Join our team, and help us shape the future of anime! About the role 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. In the role of Senior Director, Platform Engineering, you will report to the VP, Enterprise Technology. We are considering applicants for the location of Dallas (in-office Tuesdays, Wednesdays, and Thursdays). You will: Define and lead platform strategy to support enterprise systems and distributed systems at scale. Build and scale Infrastructure, DevOps, and SRE organizations across multiple teams and leaders. Establish modern reliability practices, including SLIs, SLOs, observability, incident management, and error budgets. Drive automation first infrastructure, CI CD maturity, and infrastructure as code standards. Partner with Security to embed guardrails and policy enforcement into platform architecture. Design and scale infrastructure to support enterprise applications and data intensive workloads. Enable platform capabilities for data intensive and model driven workloads, including scalable compute, data pipel

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