Senior Software Engineer, Infrastructure / Efficiency / Productivity

Roku·Cambridgesenior

In short

→Ingeniero sénior en infraestructura y productividad con enfoque en IA.
→Diseñas herramientas y automatizaciones inteligentes para mejorar el flujo de trabajo de ingeniería a escala global.
→Destaca por tu experiencia con agentes de IA y automatización en el ciclo de vida del desarrollo.

Proficiency in English required for collaboration with global teams.

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What they ask for

✓Experiencia sólida en infraestructura de ingeniería y herramientas empresariales a gran escala.
✓Conocimiento avanzado en automatización con IA/LLM, incluyendo agentes y frameworks de ingeniería agente.
✓Capacidad para liderar arquitectura técnica y definir estándares globales para CI/CD y sistemas de construcción.
✓Experiencia con herramientas como Jenkins, Docker, Bazel, BitBake o Yocto.
✓Habilidades en diseño de políticas de uso seguro de IA (datos, modelos, evaluación, fallback).
✓Experiencia comprobada en proyectos donde se usó IA para entregar valor real en productividad o eficiencia.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

JenkinsDockerBazelBitBakeYoctoClaude CodeCursorMCP serversAgent frameworksLLM-enabled automation

Who should you write to at Roku?

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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</stron

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