At a Glance
- Tasks: Lead AI-driven automation and enhance engineering infrastructure for a global team.
- Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
- Benefits: Enjoy flexible remote work, comprehensive health benefits, and mental wellness support.
- Other info: Collaborative culture with excellent career growth opportunities and diverse teams.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology and innovation.
- Qualifications: Strong background in software development, automation, and AI tooling required.
The predicted salary is between 72000 - 88000 £ per year.
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. 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.
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. Roku is seeking a world-class engineer to own 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.
- 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 behaviours, and abuse prevention.
- Own and scale test and quality workflows leveraging test management systems (e.g., 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 requires a very strong technical leader with experience in the development of consumer electronics devices. Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations.
- Bachelor’s in Computer Science or Computer Engineering, or equivalent experience.
- Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems.
- Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams.
- Strong systems thinking across security, reliability, performance, and cost trade-offs.
- 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.
- 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.
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five-day in-office policy.
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). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs.
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
Senior Software Engineer - Infrastructure (Remote) employer: Roku
Roku is an excellent employer, offering a dynamic work environment in Cambridge that fosters collaboration and innovation. With a strong emphasis on work-life balance and comprehensive health benefits, employees are encouraged to grow their skills while contributing to the development of cutting-edge technology. The hybrid work model allows for flexibility, making it an attractive place for those seeking meaningful and rewarding employment.