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# Software Engineer

- **Company:** Roku, Inc.
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $195,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), LTE (Telecommunication), Artificial Intelligence, Algorithmic Trading, Amazon Web Services, Cloud Computing, Data Structures, Cursor (Graphical User Interface Elements), Software Debugging, Distributed Systems, Machine Learning, NoSQL, Performance Tuning, Distributed Caching, SQL Databases, Toolchain, Multithreading, Google Cloud, Multi-Agent Systems, Concurrency, Information Technology, Low Latency, Stream Processing
- **Published:** July 18, 2026
- **Apply:** https://www.dice.com/job-detail/29e9419d-e7ad-4522-ba5f-c04a48b54f68

## About the Role

* 10+ 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 up
 * A demonstrated track record of owning complex systems end-to-end: design, build, operate, on-call, and iterate based on production feedback
 * Proven ability to ramp quickly into unfamiliar, complex, large codebases and become productive fast - you enjoy the "figure it out" part of the job as much as the "build it" part
 * Experience evolving and refactoring live, business-critical systems without compromising uptime or correctness
 * Strong command of Java, with a solid foundation in algorithms, data structures, concurrency/multi-threading, and performance optimization
 * Practical experience with distributed caching, high-throughput messaging/streaming systems, and SQL/NoSQL datastores
 * Comfort operating in cloud infrastructure (Google Cloud Platform or AWS) at scale
 * Exposure to applying statistical, control-theory, or ML-driven techniques within production decision-making systems is a strong plus
 * Real-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 valued
 * B.S. or M.S. in Computer Science, Engineering, or equivalent practical experience
 * High ownership, self-motivation, critical thinking, and comfort operating with ambiguity
 * Low-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 personally
 * Genuinely collaborative and team-oriented, with an open mind toward other people's approaches and the outgoing energy to work well across teams
 * You'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
 * You're curious about applying AI - whether that mean using AI to monitor system health, triage issues or develop agentic workflows
 * You hold yourself to a high bar of correctness and understanding of what you ship, even as these tools accelerate your pace
 * Deep prior experience isn't required - genuine curiosity and a willingness to help shape how the team uses these tools responsibly is what matters most

#LI-SSC

What's Roku's approach to hybrid working?

## Description

We'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 Massachusetts Only - The estimated annual salary for this position is between $195,500 - $352,100 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 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 Doing

 * Design, build, and operate core components of a large-scale, real-time distributed decisioning system with strict latency requirements
 * Take end-to-end ownership of specific subsystems: architecture, implementation, testing, deployment, on-call, and long-term evolution
 * Build a working mental model of a highly distributes, complex production system, and make high-leverage contributions
 * Identify opportunities to continuously evolve the system and tooling
 * Partner with engineers and applied scientists working at the intersection of distributed systems and statistical/ML-driven decision-making
 * Diagnose and resolve subtle, often timing- or statistics-related issues in a highly concurrent, multi-region distributed system
 * Mentor other engineers and raise the bar on engineering rigor, testing discipline, and operational excellence across the team
 * Communicate clearly with both technical and non-technical stakeholders, and drive alignment across engineering, product, and business partners, Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.


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