Senior Infrastructure Architect for AI-Driven Dev Productivity

Roku

Cambridge

Hybrid

GBP 120,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work Fridays
Accommodations available
Comprehensive benefits

Job summary

Roku is seeking a world-class engineer to lead engineering infrastructure, enterprise tooling, and AI-assisted workflow automation across globally distributed teams. You will own strategy, architecture, and long-term execution to improve productivity, delivery, quality, security, and cost efficiency.

This hybrid, leadership-focused role reports to a VP of Engineering and requires deep experience with embedded Linux, CI/CD, and AI tooling.

Qualifications

  • Bachelor’s in Computer Science or Computer Engineering, or equivalent experience.
  • Strong hands-on knowledge of embedded Linux, multi-process architectures and IPC.
  • Experience delivering automation at scale across globally distributed teams.

Responsibilities

  • Define and lead an AI-first automation roadmap for engineering infrastructure and tooling.
  • Architect and ship AI/LLM-enabled workflow automation across the SDLC.
  • Set standards for CI/CD pipelines and build systems to support multi-site engineering.
  • Own and scale test/quality workflows with cross-team collaboration.
  • Drive security, cost, performance, and reliability across distributed systems.

Skills

AI-first automation
Architectural leadership
Cross-functional collaboration
Security by design
Distributed systems
Systems thinking

Education

Bachelor’s in Computer Science or related field
Experience at Staff/Principal/Architect level

Tools

Jenkins
Docker
Bazel
Yocto
TestRail
Jira
Git

Job description

Roku is seeking a world-class engineer to lead engineering infrastructure, enterprise tooling, and AI-assisted workflow automation across globally distributed teams. You will own strategy, architecture, and long-term execution to improve productivity, delivery, quality, security, and cost efficiency.

This hybrid, leadership-focused role reports to a VP of Engineering and requires deep experience with embedded Linux, CI/CD, and AI tooling.

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