6 часов назад
Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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