Lead Product Software Engineer

We are looking for a Lead Product Software Engineer to drive the design, development and evolution of data-centric applications and platform services within Wolters Kluwer Italia. The role combines strong software engineering leadership with a deep understanding of data-intensive products, enabling analytics, benchmarking, reporting and reusable data services across multiple business domains. The person will actively contribute to implementation while setting technical direction, engineering standards and delivery practices. A key expectation is the adoption of modern AI-assisted software development practices, including specification-driven approaches such as OpenSpec or equivalent methodologies, to improve quality, productivity, maintainability and clarity of delivery.

Key Responsibilities

• Lead the design, development and technical evolution of data-centric applications and platform services.
• Define and maintain engineering standards, integration patterns, APIs and reusable technical capabilities.
• Design and implement ingestion, processing, storage, serving, monitoring and integration components supporting analytics and reporting use cases.
• Translate business and product needs into scalable, maintainable and secure technical solutions.
• Contribute to the definition of data models, semantic layers and shared services supporting benchmarks, dashboards and data products.
• Leverage AI-assisted development practices to improve software quality, productivity, maintainability and engineering flow.
• Contribute to adoption of specification-driven engineering, including OpenSpec or equivalent methodologies, as part of the software delivery lifecycle.
• Evaluate and incorporate emerging technologies, including AI-enabled capabilities, where they create measurable business value.
• Ensure scalability, reliability, performance, security, observability and cost efficiency of implemented solutions.
• Mentor developers and contribute to a culture of engineering excellence, continuous learning and innovation.

Required Qualifications

• Strong experience in software engineering, product development or platform engineering.
• Solid backend development experience, ideally in .NET-based environments.
• Experience designing and developing data-intensive applications, APIs, integrations or platform services.
• Good understanding of data ingestion, transformation, storage, serving and analytical consumption patterns.
• Experience using AI-assisted software development tools as part of the software delivery lifecycle.
• Familiarity with specification-driven engineering approaches such as OpenSpec or equivalent methodologies.
• Genuine interest in AI, software engineering innovation and cutting-edge technology.
• Ability to continuously evolve engineering practices through experimentation, automation and adoption of new tools and paradigms.
• Strong communication skills and ability to collaborate with Product, Engineering, Analytics and Business stakeholders.

Additional Valuable Experience

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

What We Offer

We operate in a rapidly growing multinational environment and provide our teams with: People First: care and attention to the work environment, to people, and to their individual and professional growth within the Technology organization. Continuous Learning: Access to top-tier technological training platforms Access to high-quality learning paths through the internal #GROW program Knowledge-sharing communities Customized development paths International and Cross-functional Projects: opportunities to participate in international and cross-functional projects, ensuring the exchange of knowledge and ideas. Working Methodology: an operational approach based on a collaborative, informal work environment that is open to the exchange of ideas.

Benefits

• Hybrid working model Flexible start and end times to support work-life balance
• Meal vouchers worth €8
• Online well-being programs
• Welfare platform available to all employees
• Location: Milan and smart working #Li-Hybrid

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our inte