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2 дня назад

Staff Software Engineer, Delivery Engineering (AI)

195 000 - 265 000CAD
Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer, Delivery Engineering (AI): Building shared platforms and tooling for an agentic software development lifecycle with an accent on AI-native development, developer workflows, Go backend services, and measurable engineering outcomes. Focus on evaluating agentic tools and models, designing scalable platforms, driving adoption across teams, and solving model cost, reliability, and integration challenges.

Location: Remote in Canada (Eastern time zone) or the United Kingdom; the role is also open to candidates based in Europe or the Eastern time zone.

Canada base pay: $195,000–$265,000 CAD annually; United Kingdom base pay: £125,000–£170,000 GBP annually.

Company

hirify.global provides a continuous integration and continuous delivery platform used by software companies to improve engineering productivity and release products.

What you will do

  • Build AI-native shared platforms and tooling for the agentic software development lifecycle.
  • Help define the end-to-end workflow for AI agents, from identifying changes through planning, execution, pull requests, merging, and impact measurement.
  • Evaluate agentic tooling, models, vendors, open-source solutions, repository patterns, harnesses, and skills, making build-versus-buy decisions.
  • Work with engineering teams to understand workflows, identify friction, and shape solutions that teams adopt.
  • Instrument agent usage and outcomes, measuring throughput, quality, cost, model choice, token usage, and reliability.
  • Write design documents, lead technical discussions across teams, and mentor engineers adopting agentic workflows.

Requirements

  • Direct experience driving an agentic developer experience initiative that changed how an engineering organization builds software with AI agents, including measuring impact, driving adoption, and learning from unsuccessful approaches.
  • Daily hands-on experience with coding agents, agent harnesses, MCP, skills, or prompt design, including evaluating agent output and reasoning about model and token economics.
  • Experience building and supporting internal platforms or developer tooling used by other engineers, and driving adoption.
  • Production backend engineering experience in Go, including API design, data modeling, and service integration.
  • 8+ years of production engineering experience at staff scope, including technical decisions spanning multiple teams and accountability for delivery.
  • Ability to build direction by listening to users, translate the needs of multiple teams into clear trade-offs, document reasoning, and bring stakeholders along.

Culture & Benefits

  • Remote work is available in Canada and the United Kingdom, with eligibility also described for Europe and the Eastern time zone.
  • Engineering culture emphasizes experimentation, learning quickly, accepting failure, and scaling effective approaches.
  • Work focuses on customer and developer needs, with ownership extending from delivery through adoption and outcomes.
  • Reasonable accommodation is available for candidates with disabilities during hiring and employment.
  • Recruiters and hiring teams make hiring decisions; candidates may request human-only application review and opt out of AI interview note-taking.

Hiring process

  • Some applications may be reviewed with an AI-supported tool against criteria set by the hiring team, with recruiter oversight.
  • AI note-taking may be used during interviews with advance notice, and candidates may opt out.

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