Senior Software Engineer, Insights & Reliability Engineering

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 building a new Partner Reliability Engineering (PRE) team focused on proactively ensuring the health and quality of our living room device ecosystem and integrated partner payment systems. Our mission is to detect and resolve issues before they impact our customers, using data, automation, and close collaboration with internal teams and global partners.

This role is ideal for a versatile engineer who thrives in operational environments, enjoys digging into data, and is passionate about building tools that improve system observability and reliability. You'll be at the intersection of site reliability engineering, analytics, automation, and external partner support, ensuring our users get a seamless experience every time they hit "play."

What you will be doing

• Build, operate, and evolve reliability tooling, telemetry workflows, alerting systems, dashboards, and automation that help teams detect and investigate customer-impacting issues.
• Transform high-volume product, device, payment, partner, and platform telemetry into reliable operational signals for anomaly detection, alerting, debugging, and leadership visibility.
• Use SQL, logs, metrics, dashboards, and product context to identify anomalies, baseline performance, validate hypotheses, and uncover patterns that drive reliability improvements.
• Lead improvements to monitoring, alerting, signal quality, triage workflows, and operational automation to reduce time to detection and resolution.
• Participate in incident response, alert review, and production issue investigation for device, payment, and partner-related issues, with a focus on improving the systems and processes that make future issues easier to detect and resolve.
• Work with internal service owners and external technical partners when reliability issues span device, payment, or partner ecosystems, with a focus on improving the software systems, telemetry, and ownership paths that make future issues easier to detect and resolve.
• Collaborate with engineering, product, data, analytics, and partner teams to drive systemic fixes, postmortem learnings, and long-term reliability improvements.
• Communicate technical findings, customer impact, tradeoffs, and recommendations clearly to both technical and non-technical stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, and/or 8+ years of practical engineering experience.
• Strong coding skills, with Python preferred; experience with similar modern programming languages is also welcome if you can ramp up quickly in Python-based workflows.
• Strong SQL skills and experience working with high-volume event, telemetry, product, or operational datasets.
• Experience building, testing, deploying, and maintaining production-quality software, internal tools, data workflows, automation, or observability systems.
• Experience with data-processing systems, analytics engineering workflows, reliability tooling, alerting systems, or operational insight platforms.
• Ability to debug ambiguous production problems using data, logs, metrics, dashboards, code, system behavior, and product context.
• Experience working across data, observability, and analytics platforms, such as Databricks/Spark for data processing, Airflow/dbt for workflow orchestration and modeling, Datadog/Grafana for monitoring, and Tableau/Mixpanel/Mux for product or experience analytics.
• Experience defining scalable operational processes, improving signal quality, reducing alert noise, and turning repeated manual workflows into durable automation.
• Experience in reliability engineering, SRE, incident response, support engineering, analytics engineering, data engineering, or operational tooling roles.
• Comfortable working with consumer device, payment, partner integration, or distributed system domains.
• Proven ability to influence stakeholders across Engineering, Product, Data, Analytics, and partner-facing teams.
• Experience using AI-assisted engineering tools, including agentic workflows where appropriate, to accelerate investigation, implementation, testing, or automation, with strong judgment around correctness, maintainability, security, and production safety.
• Clear communicator, capable of translating technical findings, reliability risks, and customer impact for broad audiences.

You Might Be a Great Fit If You...

• Enjoy building and evolving software, data workflows, and observability systems that make complex production behavior easier to understand and improve.
• Are fluent in both code and data, and like using telemetry, SQL, logs, metrics, and product context to solve ambiguous problems.
• Are obsessed with understanding root causes, not just patching symptoms.
• Believe in turning repeated manual workflows into reliable tools, automation, and scalable operating practices.
• Have a strong sense of ownership and pride in improving customer experience through better reliability systems.
• Enjoy working behind the scenes to make things “just work” for millions of fans.

About the Team

The Scaling Client and Partnership Engineering team at Crunchyroll plays a pivotal role in enhancing and expanding our users' experiences. We collaborate extensively with a diverse network of device, payment, and gaming partners to broaden the reach of Crunchyroll's offerings. Our primary objective is to drive growth, open up new acquisition channels, and optimize both the scope and quality of our services. Situated at the crossroads of technology and business, we are dedicated to continually enabling experiences that delights our fans.

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