Staff Software Engineer, Demand Bidder, Ad Serving Platform

Staff Software Engineer, Demand Bidder, Ad Serving PlatformTeamwork makes the stream work.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 TeamRoku's Ad Serving Team builds and operates the real-time advertising platform that powers all of Roku's ad monetization across video, display, and native ad formats. Within Ad Serving, the Demand Bidder team owns the high throughput and low latency systems responsible for serving relevant ads for tens of thousands of campaigns through targeting, scoring, bidding, auctions, measurement and more. Every millisecond and every decision carries direct, measurable revenue impact, and the team operates with the high engineering rigor that this demands.About the RoleWe're hiring a Senior Software Engineer (Staff scope) to help scale and evolve this platform. Demand Bidder is a large, high-throughput system driving our next phase of growth. As we onboard a rapid wave of new businesses, we are actively scaling and advancing our architecture — including state of the art pacing engine, scoring/ML engine, modularizing designed for agentic development. Our reliability bar keeps climbing alongside our business scale. We need someone who can rapidly master this intricate ecosystem and take immediate ownership of key initiatives.For California Only — The estimated annual salary for this position is between $195,000 - $408,000 annually.

Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.How Will I Use AI at Roku?At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact.We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.What You'll Be DoingDesign, build, and operate core components of a large-scale, real-time distributed decisioning system with strict latency requirementsTake end-to-end ownership of specific subsystems: architecture, implementation, testing, deployment, on-call, and long-term evolutionBuild a working mental model of a highly distributed, complex production system, and make high-leverage contributionsIdentify opportunities to continuously evolve the system and toolingPartner with engineers and applied scientists working at the intersection of distributed systems and statistical/ML-driven decision-makingDiagnose and resolve subtle, often timing- or statistics-related issues in a highly concurrent, multi-region distributed systemMentor other engineers and raise the bar on engineering rigor, testing discipline, and operational excellence across the teamCommunicate clearly with both technical and non-technical stakeholders, and drive alignment across engineering, product, and business partnersWe're Excited If You Have10+ years of experience designing, building, and operating large-scale, low-latency distributed systems — ideally including at least one system you built substantially from the ground upA demonstrated track record of owning complex systems end-to-end: design, build, operate, on-call, and iterate based on production feedbackProven ability to ramp quickly on unfamiliar, complex, large codebases and become productive fast — you enjoy the "figure it out" part of the job as much as the "build it" partExperience evolving and refactoring live, business-critical systems without compromising uptime or correctnessStrong command of Java, with a solid foundation in algorithms, data structures, concurrency/multi-threading, and performance optimizationPractical experience with distributed caching, high-throughput messaging/streaming systems, and SQL/NoSQL datastoresComfort operating in cloud infrastructure (GCP or AWS) at scaleExposure to applying statistical, control-theory, or ML-driven techniques within production decision-making systems is a strong plusReal-time bidding / ad-tech domain experience is a big plus, but deep experience in adjacent high-stakes, low-latency domains (trading systems, large-scale ranking/recommendation, matchmaking, risk/fraud systems) is equally valuedB.S. or M.S. in Computer Science, Engineering, or equivalent practical experienceHigh ownership, self-motivation, critical thinking, and comfort operating with ambiguityLow-ego and nonpolitical — you'd rather get to the right answer than be the one who's right, and you take critical feedback in stride rather than personallyGenuinely collaborative and team-oriented, with an open mind toward other people's approaches and the outgoing energy to work well across teamsYou've used AI coding assistants (e.g., Claude Code, Cursor, or similar) in real production work to accelerate design, implement, debug, and understand unfamiliar codebases.You have informed opinions on how best to leverage themYou're curious about applying AI - whether that means using AI to monitor system health, triage issues or develop agentic workflowsYou hold yourself to a high bar of correctness and understanding of what you ship, even as these tools accelerate your paceDeep prior experience isn't required — genuine curiosity and a willingness to help shape how the team uses these tools responsibly are what matters most