Software Engineer III, Insights & Reliability Engineering - Mexico City

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!

Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.

About the role

We’re expanding the Fan Insights & Reliability Engineering team with a Software Engineer III focused on building the next generation of data models, metrics frameworks, and operational insights for our device ecosystem.

This role is ideal for an engineer who thrives at the intersection of data engineering, analytics, and product reliability. You’ll shape how we measure device QoE, build scalable data pipelines, and define the ontology and semantic layer that enables actionable insights across the organization. You’ll work closely with our Data Engineering, Platform, and Device teams to turn telemetry into observability tools and real-time metrics that power operational excellence and experimentation.

This isn’t a traditional data analyst or dashboard-building role. You’ll own the full journey: from data modeling and metric definition to real-time observability and impact measurement. You’ll help shape how we understand the reliability and performance of our devices and partner ecosystem, driving tangible improvements in Quality of Experience for millions of fans worldwide.

What you will be doing

• Design and build scalable data models and pipelines that measure and monitor the health and QoE of our device ecosystem.

• Develop and evolve our data ontology and metrics definitions, ensuring consistent and meaningful measurement across devices, partners, and platforms.

• Partner with Data Engineering to build real-time observability systems that enable proactive detection, alerting, and rapid rollback of problematic releases.

• Translate complex device telemetry and operational data into clear, actionable insights for engineering and product teams.

• Collaborate with product, reliability, and engineering teams to instrument new data points and improve data quality across client platforms.

• Contribute to the development of our A/B testing foundations, enabling data-driven decisions on release quality and user experience.

• Create and maintain dashboards, metrics catalogs, and data documentation to improve data discoverability and trust.

• Advocate for data reliability and operational observability, ensuring that pipelines and metrics meet rigorous quality and SLA standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience.

• 5+ years of experience in data-related engineering roles (Analytics Engineer, Data Engineer, Data Modeling Engineer, etc.).

• Expert in SQL and experienced in data modeling, ETL, and metrics design for operational and product use cases.

• Strong programming experience in Python (or similar).

• Deep understanding of data warehouse design, semantic modeling, and ontology frameworks.

• Proven experience working with data pipelines and workflow orchestration (e.g., Airflow, dbt, Spark, Flink, or similar).

• Familiarity with data visualization and BI tools (e.g., Tableau, Mixpanel, Mux) and designing metrics that drive engineering decisions.

• Strong intuition for data quality, metric reliability, and performance baselining.

• Ability to translate operational data into clear insights and influence engineering priorities based on learnings.

• Strong communication and collaboration skills; able to work cross-functionally with Product, Engineering, and Reliability teams.

You Might Be a Great Fit If You...

• Are passionate about making data operational, not just analytical.

• Thrive in ambiguity and enjoy building data foundations from scratch.

• Care deeply about data accuracy and semantic consistency.

• See data models as living systems that evolve alongside product features.

• Are motivated by detecting and preventing problems before they impact users.

• Love transforming telemetry into insights that drive meaningful change.

• Want to be a key player in shaping how we measure and improve the experience for millions of fans around the world.

#LifeAtCrunchyroll #LI-Hybrid

About our Values

We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value

•
Courage. We believe that when we overcome fear, we enable our best selves.

•
Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.

• Kaizen. We have a growth mindset committed to constant forward progress.

•
Service. We serve our community with humility, enabling joy and belonging for others.

Our commitment to diversity and inclusion

Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.

We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.

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