Senior Software Engineer, Infrastructure and Efficiency

Roku; Manchester; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Healthcare (medical, dental, and vision)

401(k)/pension

Mental health support

Financial wellness resources

Job summary

Roku is looking for an engineer in Manchester to drive automation strategies in engineering infrastructure and enterprise tooling. This role involves owning the architecture of AI-assisted workflows, establishing standards for tool usage, and improving engineering productivity. The ideal candidate has a Bachelor's in Computer Science, strong experience in CI/CD, and excellent communication skills. Benefits include comprehensive health support and a hybrid work model, promoting both in-office and flexible remote work.

Qualifications

• Prior experience at Staff, Principal, or Architect level.
• Ownership in platform/infrastructure, developer productivity, CI/CD.
• Extensive experience with software development on embedded Linux.

Responsibilities

• Define and lead an AI-first automation roadmap for Engineering.
• Architect and ship AI/LLM-enabled workflow automation across the SDLC.
• Improve build/test performance and reliability using measurable KPIs.

Skills

Git

Jenkins

Docker

Bazel

BitBake

Yocto

Jira

TestRail

Education

Bachelor’s in Computer Science or Computer Engineering

Job description

About the Role

You will be a subject matter expert 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.

Key Responsibilities

• 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.
• Set technical direction and standards for 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 (e.g., Bazel, BitBake, Yocto) 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.
• 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.
• 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).
• Report directly to a Vice President of Engineering and collaborate with engineering and partner teams.
• Own cross‑team architectures and standards; drive adoption through influence 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 (e.g., Bazel, BitBake, Yocto)
• 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.

Hybrid Work Approach

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.

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 policies and other personal needs to support their evolving work and life needs. It’s important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

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 [e-mail].