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Lead Product Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Lead Product Software Engineer (AI/.NET): Designing and evolving data-centric applications and platform services for analytics, benchmarking, reporting, and reusable data products with an accent on backend engineering, APIs, data processing, and AI-assisted development. Focus on building scalable ingestion and serving components, defining semantic layers and engineering standards, and ensuring reliability, security, observability, and cost efficiency.

Location: Milan, Italy; hybrid working model with smart working

Company

hirify.global operates a multinational Technology organization delivering data-centric applications, platform services, analytics, and reporting solutions across business domains.

What you will do

  • Lead the design, development, and technical evolution of data-centric applications and platform services.
  • Define engineering standards, integration patterns, APIs, and reusable technical capabilities.
  • Design and implement ingestion, processing, storage, serving, monitoring, and integration components for analytics and reporting.
  • Translate business and product needs into scalable, maintainable, secure technical solutions.
  • Contribute to data models, semantic layers, benchmarks, dashboards, and shared data services.
  • Mentor developers and promote engineering excellence, experimentation, automation, and continuous learning.

Requirements

  • Strong experience in software engineering, product development, or platform engineering.
  • Solid backend development experience, ideally with .NET.
  • Experience designing data-intensive applications, APIs, integrations, or platform services.
  • Understanding of data ingestion, transformation, storage, serving, and analytical consumption patterns.
  • Experience with AI-assisted software development tools and specification-driven approaches such as OpenSpec or equivalent methodologies.
  • Strong communication skills and the ability to collaborate with Product, Engineering, Analytics, and Business stakeholders.

Nice to have

  • Experience with Microsoft Azure and cloud-native architectures.
  • Experience with Microsoft Fabric, Databricks, Synapse, Power BI, or equivalent data and analytics technologies.
  • Knowledge of DataOps, observability, data governance, monitoring, and cost optimization.
  • Experience with large-scale data processing, benchmarking services, or enterprise data products.
  • Experience in Agile, product-oriented, and cross-functional environments.

Culture & Benefits

  • People-first environment focused on professional growth within Technology.
  • Access to technological training platforms, internal #GROW learning paths, knowledge-sharing communities, and customized development paths.
  • International and cross-functional project opportunities.
  • Collaborative and informal working environment with flexible start and end times.
  • Meal vouchers worth €8, online well-being programs, and a welfare platform.

Hiring process

  • Interviews assess individual skills, experience, and communication without AI tools or external prompts.
  • In-person interviews and possible onsite attendance at a hirify.global office may be required.
  • AI-generated responses or third-party support during interviews may result in disqualification.

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