Lead Product Software Engineer

11 ago - Milano
Wolters Kluwer

ppWe 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. /p pThe 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. /p h3Key Responsibilities /h3 ul liLead the design, development and technical evolution of data-centric applications and platform services. /li liDefine and maintain engineering standards, integration patterns, APIs and reusable technical capabilities. /li liDesign and implement ingestion, processing, storage, serving, monitoring and integration components supporting analytics and reporting use cases. /li liTranslate business and product needs into scalable, maintainable and secure technical solutions. /li liContribute to the definition of data models, semantic layers and shared services supporting benchmarks, dashboards and data products. /li liLeverage AI-assisted development practices to improve software quality, productivity, maintainability and engineering flow. /li liContribute to adoption of specification-driven engineering, including OpenSpec or equivalent methodologies, as part of the software delivery lifecycle. /li liEvaluate and incorporate emerging technologies, including AI-enabled capabilities, where they create measurable business value. /li liEnsure scalability, reliability, performance, security, observability and cost efficiency of implemented solutions.



/li liMentor developers and contribute to a culture of engineering excellence, continuous learning and innovation. /li /ul h3Required Qualifications /h3 ul liStrong experience in software engineering, product development or platform engineering. /li liSolid backend development experience, ideally in .NET-based environments. /li liExperience designing and developing data-intensive applications, APIs, integrations or platform services. /li liGood understanding of data ingestion, transformation, storage, serving and analytical consumption patterns. /li liExperience using AI-assisted software development tools as part of the software delivery lifecycle. /li liFamiliarity with specification-driven engineering approaches such as OpenSpec or equivalent methodologies. /li liGenuine interest in AI, software engineering innovation and cutting-edge technology. /li liAbility to continuously evolve engineering practices through experimentation, automation and adoption of new tools and paradigms. /li liStrong communication skills and ability to collaborate with Product, Engineering, Analytics and Business stakeholders. /li /ul h3Additional Valuable Experience /h3 ul liExperience with Microsoft Azure and cloud-native architectures. /li liExperience with Microsoft Fabric, Databricks, Synapse, Power BI or equivalent Data Analytics technologies. /li liKnowledge of DataOps, observability, data governance, monitoring and cost optimization practices. /li liExperience with large-scale data processing, benchmarking services or enterprise data products. /li liExperience working in Agile,



product-oriented and cross-functional environments. /li /ul h3What We Offer /h3 pWe operate in a rapidly growing multinational environment and provide our teams with: /p pbPeople First: /b care and attention to the work environment, to people, and to their individual and professional growth within the Technology organization. /p pbContinuous Learning: /b /p ul liAccess to top-tier technological training platforms /li liAccess to high-quality learning paths through the internal #GROW program /li liKnowledge-sharing communities /li liCustomized development paths /li /ul pbInternational and Cross-functional Projects: /b opportunities to participate in international and cross-functional projects, ensuring the exchange of knowledge and ideas. /p pbWorking Methodology: /b an operational approach based on a collaborative, informal work environment that is open to the exchange of ideas. /p h3Benefits /h3 ul liHybrid working model /li liFlexible start and end times to support work–life balance /li liMeal vouchers worth €8 /li liOnline well-being programs /li liWelfare platform available to all employees /li /ul pbLocation /b: Milan and lavoro da remoto /p h3Our Interview Practices /h3 pTo 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 interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. /p pApplicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. /p /p #J-18808-Ljbffr

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