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Lead Product Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 office may be required.
- AI-generated responses or third-party support during interviews may result in disqualification.
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