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6 часов назад

Software Engineer (AI)

Формат работы
hybrid
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

Текст:
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TL;DR
Software Engineer (AI): Designing and building complex software systems for NetApp's AI business unit with an accent on distributed systems, cloud-native architectures, storage, and AI/ML workloads. Focus on owning system architecture, leading design through delivery, resolving scalability and reliability risks, and mentoring engineers.

Location: Düsseldorf, Germany; hybrid work with in-office and/or in-person expectations

Company

hirify.global delivers intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise and AI workloads.

What you will do

  • Lead the technical design and delivery of projects or components within the AI business unit.
  • Design and build complex, high-quality software systems with responsibility for correctness, performance, and maintainability.
  • Author design documents and RFCs, participate in design reviews, and review complex designs and pull requests.
  • Translate product requirements into technical designs with managers, technical leads, and product stakeholders.
  • Identify and resolve technical debt, scalability limitations, reliability gaps, and other technical risks.
  • Mentor engineers and promote best practices in system design, testing, observability, CI/CD, and operational excellence.

Requirements

  • 7+ years of hands-on software engineering experience, including exposure to large-scale distributed systems.
  • Experience serving as a technical lead or primary design owner for a project or team initiative.
  • Hands-on experience with cloud-native architectures on AWS, Azure, or Google Cloud.
  • Working knowledge of agentic engineering using local and/or frontier models, plus exposure to distributed storage systems.
  • Strong system design, communication, technical trade-off, and design documentation skills.
  • Experience with data processing, analytics, AI/ML systems, mentoring engineers, and CI/CD infrastructure for production deployments.

Nice to have

  • Experience with distributed database systems.
  • Experience training and deploying AI models.
  • Experience with GPU workloads and accelerated computing infrastructure.

Culture & Benefits

  • Hybrid working environment supporting connection, collaboration, and flexibility.
  • Culture focused on initiative, impact, ownership, creativity, and problem-solving.
  • Flexibility to support professional and personal-life balance.
  • Inclusive equal-opportunity workplace.

Hiring process

  • Applications are reviewed only when submitted through the hirify.global company website.
  • Some stages of the process for selected roles may use AI tools to support human evaluation and candidate selection.

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