Sr Software Engineer, Cloud Services
RokuBengaluru, IndiaPosted 24 March 2026
Job Description
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.
About the team
The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.
About the role
In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework.
You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.
What you’ll be doing
Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s
CTV
advertising across The Roku Channel and the Roku platform.
Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
Develop and optimize
SSP
-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.
We are excited if you have
5+ years of experience building large-scale distributed systems
5+ years working with cloud-based platforms and infrastructure
Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
Solid understanding of databases SQL and NoSQL
Hands-on Experience working with AWS, GCP or similar cloud services
Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Prot ... (truncated, view full listing at source)
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