About the position
Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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
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
- Master’s degree in Computer Science, Engineering, or equivalent professional experience
Benefits
- Health insurance
- Equity awards
- Life insurance
- Disability benefits
- Parental leave
- Wellness benefits
- Paid time off
