3 months ago
Base Salary
$196k - $352k/yr
Responsibilities
- Design, build, and operate core components of a large-scale real-time distributed decisioning system with strict latency requirements.
- Own selected subsystems end to end, including architecture, implementation, testing, deployment, on-call, and long-term evolution.
- Develop a working understanding of a complex production ecosystem and deliver high-leverage technical contributions.
- Identify opportunities to improve the system and its tooling.
- Collaborate with engineers and applied scientists on distributed systems and statistical or ML-driven decision-making.
- Diagnose and resolve timing-, statistics-, and concurrency-related issues in a multi-region distributed system.
- Mentor engineers and raise standards for engineering rigor, testing discipline, and operational excellence.
- Drive alignment across engineering, product, business, and technical and non-technical stakeholders.
Requirements
- 10+ years designing, building, and operating large-scale, low-latency distributed systems, ideally including a system built substantially from the ground up.
- Demonstrated end-to-end ownership of complex production systems, including design, implementation, operation, on-call, and iteration.
- Strong command of Java and fundamentals in algorithms, data structures, concurrency, multithreading, and performance optimization.
- Practical experience with distributed caching, high-throughput messaging or streaming systems, and SQL or NoSQL datastores.
- Experience operating cloud infrastructure at scale using GCP or AWS.
- Experience evolving live, business-critical systems while maintaining uptime and correctness.
- B.S. or M.S. in Computer Science or Engineering, or equivalent practical experience.
- Exposure to statistical, control-theory, or ML-driven techniques in production decision-making systems is preferred.
- Real-time bidding or ad-tech experience is preferred; adjacent experience in trading, ranking or recommendation, matchmaking, risk, or fraud systems is also valued.
- Experience using AI coding assistants such as Claude Code or Cursor in production work, with sound judgment about validating AI-assisted output.
- Strong ownership, collaboration, communication, critical thinking, and comfort with ambiguity are expected.
Benefits
- Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off are offered.
- Additional benefits may include medical, dental, vision, accident, commuter, retirement, mental health, and financial wellness support.
- The role generally works in the office Monday through Thursday, with Fridays generally flexible for remote work; some roles may require five days per week onsite.
Tech Stack
Categories
About Roku
Roku builds streaming players, Roku-branded TVs and audio gear, and the Roku OS licensed to TV manufacturers. Its platform supports ad-supported and subscription streaming, including The Roku Channel and Roku Originals, and underpins a significant advertising business. Founded in 2002 and headquartered in San Jose, it is a public company trading on NASDAQ under the ticker ROKU.