Назад
3 дня назад

Engineering Manager (AI)

Тип работы
fulltime
Грейд
senior
Страна
Germany
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Описание вакансии

TL;DR
Engineering Manager (AI/cloud infrastructure): Leading product and platform engineering teams while owning delivery, technical direction, and engineering standards with an accent on reliability, security, scalability, and AI-assisted development. Focus on defining cloud architecture, balancing platform investment against technical debt, and establishing effective workflows and guardrails for AI coding tools.

Engineering Manager

Company

Moonfare

Conditions

2 days ago Senior Berlin, Germany Engineering Management Jobs by Moonfare

Skills

Ai Coding Tools Architecture Aws Backend Ci/Cd Cloud Container Data Deployment Engineering Management Infrastructure Networking Node.Js Observability Orchestration Platform React Scalability Security Software Engineering Terraform Typescript

Candidate Availability

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

About the Role

You will lead product and platform engineering teams, support engineers through regular one-to-ones and career development, own delivery and technical direction, and maintain high standards for reliability, security, scalability, and software quality. You will also guide the adoption of AI coding tools by establishing effective workflows and guardrails.

Requirements

  • Experience managing software engineers and owning team delivery and growth
  • Strong background in infrastructure platform or backend systems
  • Hands-on AWS experience
  • Experience with infrastructure as code such as Terraform
  • Experience with containers orchestration CI/CD and observability
  • Strong coaching communication and collaboration skills
  • Hands-on experience with AI coding tools such as Claude Code Cursor or GitHub Copilot
  • Familiarity with TypeScript Node.js React and AWS

Responsibilities

  • Lead and develop engineers across product and platform teams
  • Own delivery and set priorities across engineering teams
  • Define technical direction for cloud infrastructure and architecture
  • Balance platform investment with infrastructure and architectural debt
  • Establish workflows and guardrails for AI-assisted engineering
  • Hire engineers and raise organisational engineering standards

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