About this role
Salary: £60,000 - 100,000 per year
Requirements: 10+ years of experience building large-scale, low-latency distributed systemsStrong command of Java or C++Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programmingExperience with distributed caching, SQL/NoSQL, and other databases is a plusExperience with big data and cloud services such as AWS or GCP is a plusExperience in the advertising domain is a big plusB.S. or M.S. degree in Computer Science, Engineering, or equivalentSelf-motivated with a high level of accountability and ownershipStrong critical thinking and practical decision-making skillsResults-oriented mindsetCollaborative, nonpolitical, and team-orientedDesire to win in a highly competitive industryAI literacy and curiosity, including prior use or exploration of Gen AI Responsibilities: Work with a highly skilled engineering team to design, develop, and maintain large-scale, high-performing, real-time applicationsOwn feature development and work directly with product and other engineering teamsCommunicate effectively with both technical and non-technical audiencesEvangelize best practices across developers, QA, and infrastructure/opsEvangelize platform innovation and reuseDeliver high-quality software in a timely fashion Technologies: AIAWSBig DataCloudGCPSupportJavaNoSQLRokuSQLAI AgentsClaude CodeCursorLESSMCP More:
We are Roku, the #1 TV streaming platform in the U.S., Canada, and Mexico, and we are working to power every television in the world. We pioneered streaming to the TV and our mission is to connect the entire TV ecosystem by helping consumers find the content they love, enabling publishers to build and monetize audiences, and giving advertisers unique ways to engage consumers. Our Ad Engineering team is building a highly scalable, highly available real-time advertising platform to support and grow our advertising business. We offer a fast-paced, collaborative environment, meaningful experience across multiple disciplines, and a hybrid working model where teams generally work in the office Monday through Thursday, with Fridays typically flexible for remote work. Our benefits include global mental health and financial wellness support, as well as local benefits that may include healthcare, life, accident, disability, commuter, and retirement options, plus time off in accordance with local policies.
last updated 40 week of 2026