{"id":2013812,"url":"https://alion.io/job/roku-senior-software-engineer-infrastructure-and-efficiency-2","title":"Senior Software Engineer (Infrastructure and Efficiency)","company":{"id":185188,"name":"Roku","domain":"roku.com","url":"https://alion.io/company/roku-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"A","score":90,"open_postings":17,"ghost_share":0,"stale_share":0.412,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manchester, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":112},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"TestRail","optional":false}],"status":"live","first_seen_at":"2026-08-29T00:14:02Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T23:33:43Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Join Roku as a Senior Software Engineer (Infrastructure and Efficiency) and become a technical leader in engineering infrastructure, productivity, and enterprise tooling. You will drive improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency. This highly visible role requires a strong technical leader with experience in the development of consumer electronics devices.\nMissions\nDefine and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling, focusing on reducing waste and accelerating reviews.\nArchitect and ship AI/LLM-enabled workflow automation across the SDLC, including risk assessment, automated build, test and deployment.\nEstablish policies and guardrails for AI usage in internal tools, including data handling, prompt/response logging, and model/provider selection.\nProfil recherché\n - Jenkins (CI/CD pipeline design, scaling, reliability)- Prior experience at Staff, Principal, or Architect level\n- Docker containers (reproducible build/test execution)\n- Bachelor’s in Computer Science or Computer Engineering, or equivalent experience\n- Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems\n- Experience working in large cross functional teams and ability to influence teams that don't report to you\n- Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots)\n- Ability to see the big picture while focused on short-term objectives and deliverables\n- Extensive experience with software development on embedded Linux, multi-process architectures and IPC mechanisms\n- Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams\n- Strong systems thinking across security, reliability, performance, and cost tradeoffs\n- Build systems ( itBake/Yocto preferred)\n- Ability to multi-task and drive parallel projects and distributed teams with tight deadlines\n- Test management systems (e.g., TestRail or equivalent)\n- Excellent written communication (architecture docs, decision records, operating procedures)\n- Jira (workflow design/automation, cross-team visibility)\n- Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops)\n- Strong, hands-on knowledge of:\n- Git (workflows, branching strategies, release management)","description_format":"text","description_chars":2561,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-07T13:07:33Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely 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