Senior Software Engineer, Search & Recommendations Platform

Teamwork makes the stream work.
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.

Roku’s Search & Recommendations (S&R) Platform Engineering team is central to our mission of delivering outstanding streaming experiences to millions of people around the world. We develop and maintain the core platform that powers search, personalization, and content discovery at scale across every Roku device and service.

We are a technically diverse and collaborative team that values ownership, transparency, and a culture of continuous improvement. We work closely with colleagues across platforms and infrastructure teams to deliver high-performance distributed systems and observability capabilities that enable real-time search, ranking, and recommendations.

Our work includes designing and optimizing online inference infrastructure, feature stores, and data pipelines — all seamlessly integrated with the broader platform ecosystem (Kubernetes, Istio, Envoy). We’re passionate about solving complex technical challenges that have a direct impact on how users experience Roku.

We are looking for a Senior Software Engineer with experience in building scalable, reliable systems to help evolve and extend the infrastructure behind our Search and Recommendations platform. In this role, you’ll be part of a cross-functional, globally distributed team dedicated to creating fast, cost-efficient solutions that deliver relevant and seamless user experiences.

You’ll contribute to the design, development, and operation of critical systems that power real-time search and personalized recommendations for millions of users. You’ll help shape the roadmap for our next-generation architecture, drive standardization and tooling efforts, and champion best practices in observability and resilience.

We are a fast-moving team with a strong engineering culture built on clear communication, thoughtful decision-making, and a shared commitment to delivering impactful solutions. Collaboration is fundamental to how we work — we invest as much in supporting our growth as we do in building exceptional systems.

• 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

• 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 Dev Ops 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…