Назад
2 дня назад

Platform Engineer AI Tooling (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
lead
Страна
UK/Europe
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TL;DR
Platform Engineer AI Tooling (AI/Developer Platforms): Owns the architecture, implementation, safe release, and long-term support of developer-platform features with an accent on AI-tool adoption, developer tooling, and reliable engineering infrastructure. Focus on leading multi-quarter initiatives, defining success criteria, mentoring engineers, and operating systems through data-driven iteration.

Platform Engineer AI Tooling

Company

Synthesia

Conditions

4 days ago

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own end-to-end architectural decisions for developer-platform features, from implementation and safe release through long-term support. You will lead multi-quarter initiatives, set success criteria, make trade-offs, mentor engineers, and shape technical strategy with leadership. You will operate and improve systems using data, guide AI-tool adoption, and anticipate scalable solutions for future technical challenges.

Requirements

  • At least seven years of software engineering experience, including two to three years at senior or staff level
  • Experience building and operating developer platforms, CI/CD systems, observability or metrics infrastructure, code-quality automation, testing infrastructure, or developer tooling
  • Experience shipping infrastructure or tooling that improved developer velocity or reduced cognitive load
  • Experience leading adoption of AI-powered developer tools or capabilities across an engineering organization
  • Experience in a high-performing engineering organization
  • Experience integrating third-party APIs, SaaS tools, or external platforms into internal systems with attention to reliability, security, and user experience
  • Experience owning large technical areas end to end

Responsibilities

  • Own architectural decisions for how features are built, safely released, and supported long term
  • Mentor engineers through code review and design partnership
  • Lead multi-quarter projects and break complex problems into iterative milestones
  • Define success criteria, make trade-offs, and escalate when appropriate
  • Partner with leadership on roadmap and technical strategy
  • Own the operational health of systems and use data to guide iteration, maintenance, and deprecation
  • Set the technical direction for the area and anticipate long-term technical challenges

Benefits

  • Equity through RSUs
  • 25 days of leave plus local holidays

Hiring Process

30–40-minute Technical Recruiter call → 45-minute Engineering Manager call about past projects → 90-minute Product Discovery/Implementation collaboration exercise in Python → 60-minute System Design discussion → 60-minute leadership call.

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