Staff Site Reliability Engineer

Crunchyroll

Los Angeles, United States Posted September 13, 2026

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Remote Full-time Senior
Salary Range

$210,500 - $263,100

Job Description

Join Crunchyroll as a Staff Site Reliability Engineer (SRE) in the Center for Data & Insights (CDI). In this role, you will be responsible for advancing the reliability, scalability, performance, and security of Crunchyroll's consumer-facing data platforms. You will collaborate closely with various teams to design and operate resilient cloud-native systems, drive initiatives across observability, incident management, automation, capacity planning, disaster recovery, and operational excellence. This is a unique opportunity to shape reliability and security engineering practices while building a world-class data and insights ecosystem.

  • Definir, medir y mejorar continuamente la confiabilidad, disponibilidad y rendimiento de las plataformas de CDI a través de SLIs, SLOs y presupuestos de error.
  • Establecer y promover las mejores prácticas para la gestión de incidentes, el análisis de la causa raíz, las postmortem y la propiedad del servicio en todos los equipos de ingeniería.
  • Identificar ineficiencias operativas y desarrollar automatización, capacidades de autoservicio y mecanismos de auto-reparación para mejorar la productividad de la ingeniería.
  • In addition, you will champion SecOps best practices by driving vulnerability management, supporting penetration testing initiatives, improving security observability, strengthening cloud and Kubernetes security controls, and ensuring operational readiness for emerging threats
  • The ideal candidate combines deep expertise in large-scale distributed systems with a strong sense of ownership, collaboration, and service leadership
  • You are passionate about building highly reliable platforms, eliminating operational toil through automation, and enabling engineering teams to move quickly and safely
  • Strong Infrastructure as Code (IaC) experience, preferably with Terraform, and a commitment to automation, standardization, and operational efficiency
  • 12+ years of experience in Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, or related disciplines, with a proven track record of operating and scaling production-critical systems
  • Good to have knowledge of security frameworks and best practices, including OWASP Top 10, Identity and Access Management (IAM), secrets management, Secure Software Development Lifecycle (SSDLC), and security-by-design principles
  • Hands-on experience with modern observability platforms and practices, including Prometheus, Grafana, OpenTelemetry, Datadog, or equivalent monitoring and telemetry solutions
  • Demonstrated expertise in incident management, service reliability, capacity planning, performance optimization, and operational excellence, including the implementation of SLIs, SLOs, and error budgets
  • Strong understanding of cloud and platform security, including container security, Kubernetes security, CI/CD security, vulnerability management, and secure infrastructure operations
  • Proficiency in one or more programming and scripting languages, such as Go, Python, Java, or Shell, with a focus on automation and platform engineering
  • Deep expertise in Kubernetes and GCP, including the design, deployment, and operation of highly available, cloud-native platforms at scale
  • Excellent collaboration, communication, and technical leadership skills, with experience influencing architectural decisions, driving cross-functional initiatives, and mentoring engineers in reliability and operational best practices
  • Solid foundation in Linux systems administration, networking, and distributed systems, with the ability to troubleshoot complex production issues across multiple layers of the technology stack
Required Skills
collaboration cloud-native incident management penetration testing testing Kubernetes distributed systems leadership Terraform OWASP software development Prometheus Grafana OpenTelemetry Datadog performance optimization
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