Senior Software Engineer, Infrastructure / Efficiency / Productivity

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 Role You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You’ll Be Doing Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. 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. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g. risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention . Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for the globally used developer tools, including build systems. Source code management, branching/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins , Docker , and build systems ( Bazel /BitBake/Yocto preferred ) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-org visibility and execution. Workflow Automation (Cross-Functional, Cross-Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure-by-default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI-enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking. This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams. Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to We’re Excited If You Have Bachelor’s in Computer Science or Computer Engineering, or equivalent experience Prior experience at Staff, Principal, or Architect level Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands-on knowledge of: Git (workflows, branching strategies, release management) Jenkins (CI/CD pipeline design, scaling, reliability) Docker containers (reproducible build/test execution) Build systems ( itBake/Yocto preferred) Jira (workflow design/automation, cross-team visibility) Test management systems (e.g., TestRail or equivalent) Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi-process architectures and IPC mechanisms Experience working in large cross functional teams and ability to influence teams that don't report to you Ability to see the big picture while focused on short-term objectives and deliverables Ability to multi-task and drive parallel projects and distributed teams with tight deadlines #LI-NM1 What's Roku's approach to hybrid working? 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. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave