Roku is looking to evolve and extend the infrastructure behind its Search and Recommendations platform to deliver fast, cost-efficient, relevant, and seamless user experiences for millions of users.
Requirements
- 8+ years of professional experience building large-scale distributed systems
- Proficiency in modern backend languages (Java, Python, Go) and scalable cloud-native architectures (AWS, Kubernetes, service meshes, etc.)
- Deep knowledge of DevOps practices, SRE principles, infrastructure-as-code, and real-time data processing
- Experience collaborating with engineers and product stakeholders to shape features and systems
- A platform mindset: you design with reuse, observability, and scale in mind, supporting not only your team but the broader engineering organization
- A track record of improving performance, cost efficiency, and maintainability in complex environments
- Expertise in deploying and operating observability and tracing tools such as OpenTelemetry, Grafana Tempo, Thanos, Loki, and Prometheus at scale
Responsibilities
- Design, build, and operate platform infrastructure powering real-time search and personalized recommendations
- Work closely with machine learning engineers, data scientists, and infrastructure teams to scale our Machine Learning Platform
- Shape the roadmap for our next-generation architecture, including improvements in cost efficiency, observability, and resilience
- Drive tooling and standardization, working with the broader platform teams to identify and align on shared approaches
- Design and implement multi-tenant systems and APIs that accelerate development, reduce coupling, and serve multiple teams across Roku
- Take ownership of quality and system performance from design through deployment and operation in production
Other
- Master’s degree in Computer Science, Engineering, or equivalent professional experience
