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23 часа назад

Senior Platform Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Platform Engineer (AI): Building and operating an internal developer platform with secure AI coding environments, AI-assisted CI/CD, agentic AWS workflows, Kubernetes, and infrastructure tooling with an accent on developer productivity, self-service, reliability, and secure platform foundations. Focus on integrating LLMs, agents, and MCP-based workflows into production systems while improving adoption, observability, and cost efficiency.

Location: Munich, Germany

Company

hirify.global is a digital automotive marketplace whose engineering organization builds software used by millions of users and hundreds of developers.

What you will do

  • Build and operate secure AI coding environments, AI-assisted CI/CD, agentic workflows on AWS, and reusable platform components.
  • Own internal platform products end to end, treating developers as customers and improving usability and adoption.
  • Shape architecture and technology choices across Kubernetes, CI/CD, infrastructure as code, and AI capabilities.
  • Drive topics from planning through delivery while communicating clearly with stakeholders across functions.
  • Maintain reliable, secure, observable, and cost-aware infrastructure and participate in the on-call rotation.
  • Create reusable patterns, templates, and blueprints that help the engineering organization ship faster.

Requirements

  • Senior-level experience, typically 5+ years, building and operating infrastructure or platform products.
  • Hands-on experience with LLM APIs, tool or function calling, retrieval, agents, or agent frameworks in real workflows.
  • Daily experience with modern AI coding tools such as Claude Code or Codex.
  • Strong AWS fundamentals and experience with infrastructure as code and pipeline as code.
  • Experience with SRE or DevOps principles, observability tools, testing, debugging, and production operations.
  • Strong programming skills in at least one language, ideally Python, Go, or TypeScript, plus effective communication and collaboration.

Culture & Benefits

  • High ownership in a platform team positioned at the center of software development.
  • Opportunity to define how the organization adopts and builds with AI.
  • Product mindset focused on self-service and measurable developer productivity.
  • Inclusive environment with colleagues from more than 50 nationalities.
  • Use and continuously improve the tools built for internal engineering teams.

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