Senior Product Software Engineer Ai Native (España)

Join us at Wolters Kluwer and be part of a dynamic integral technology company that makes a difference every day.
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We're innovators with impact.
We provide expert software and information solutions that the world's leading professionals rely on, in the moments that matter most. We are currently looking for a Senior Product Software Engineer

- AI Native to join our team. About the Role: The Senior Product Software Engineer (AI native) will own software solutions from discovery through production, translating customer and business needs into secure, reliable, scalable, and maintainable software products. Takes ambiguous team-level problems and works across stakeholders to define requirements, shape solution approaches, coordinate dependencies, and deliver successful outcomes. Exercises sound engineering judgment and uses approved AI-assisted development and automation tools where appropriate, while remaining accountable for the quality, correctness, security, and operational readiness of all work approved or released. Serves as a technical resource within the team and helps strengthen the capability of less experienced engineers. Essential Duties and Responsibilities: End-to-End Solution Ownership: Own software solutions from discovery through production, translating customer, business, and technical requirements into sustainable outcomes. Problem Definition and Solution Design: Analyze ambiguous requirements, clarify objectives, evaluate alternatives, and determine solution strategies. Software Development: Design, develop, test, implement, maintain, and improve software applications, services, and platforms using direct and approved AI-assisted approaches. AI-Assisted Engineering: Apply approved AI-assisted techniques while validating outputs and maintaining accountability for architecture, quality, security, and operational readiness. Specification Development: Document requirements, design approaches, acceptance criteria, dependencies, risks, and implementation considerations. Verification and Validation: Determine and execute testing and verification approaches based on complexity, risk, and business impact. Technical Guidance: Provide technical guidance through design reviews, code reviews, knowledge sharing, mentoring, and engineering best practices. Troubleshooting and Production Support: Diagnose and resolve cross-component, production, and system-level issues and implement sustainable corrective actions. Security and Compliance: Apply security, privacy, compliance, and data-protection requirements throughout the lifecycle. Product and Stakeholder Collaboration: Partner with product, design, architecture, operations, security, and business stakeholders to shape solutions. Performance and Reliability Improvement: Improve performance, scalability, reliability, resiliency, and maintainability while reducing operational risk. Continuous Improvement: Improve engineering processes, delivery effectiveness, and team capability through automation, standardization, and knowledge sharing. Customer and Business Awareness: Consider customer impact, product strategy, operational implications, and business outcomes in technical decisions. AI-Native Engineering Accountability: Applies specification-driven and evaluation-driven approaches to ambiguous work. Provides context, constraints, and evaluation criteria, validates generated output, and coaches others on appropriate responsible use. Verification and Quality Accountability: Every engineer remains accountable for the work approved or released, regardless of whether the work was produced directly or with approved AI assistance. AI-generated output remains unverified input until it has been reviewed and validated through practices appropriate to the associated risk. Determine the testing and validation needed within the assigned area. Ensure solutions meet quality, reliability, security, compliance, and operational expectations. Define and evaluate acceptance criteria.

Advanced Technology Adoption and Utilization: Applies specification-driven and evaluation-driven approaches to ambiguous work. Provides context, constraints, and evaluation criteria, validates generated output, and coaches others on appropriate responsible use. Competencies: Ownership Mindset: Acts like an owner, takes accountability for outcomes beyond formal role boundaries, and creates disproportionate business value while respecting security, regulatory, financial, and delegated decision-making controls. Organizational Velocity: Increases speed by removing friction, simplifying decisions, and accelerating execution. Technical Innovation & Leverage: Creates innovative solutions whose impact far exceeds the effort required to build them. Engineering Leverage: Improves engineering productivity through tools, platforms, frameworks, and automation. AI-Native Thinking: Reimagines work and business models through AI-first thinking. Learning Velocity: Rapidly acquires and applies new capabilities ahead of business needs. Constructive Disruption: Improves outcomes by challenging assumptions with evidence, pragmatism, and low ego. Product & Market Instinct: Balances technology decisions with customer, market, and business realities. Talent Multiplier: Raises standards, attracts talent, develops future leaders, and builds excellence cultures. Enterprise Mindset: Optimizes for enterprise outcomes rather than local team wins. Strategic Judgment: Makes high-quality prioritization decisions, especially what not to pursue. Courage to Take Smart Risks: Balances potential risk with impact, encourages thoughtful experimentation, and facilitates learning from responsible risk-taking. Inclusive Collaboration: Models inclusion and collaboration by involving team members in decision making, respecting colleagues, and partnering across organizational boundaries. Inspiration & Alignment: Motivates achievement by aligning individual, team, and organizational goals. Analytical Skills: Takes a logical and systematic approach to solving problems and contributes quality alternative solutions that add value for the customer. Functional Expertise: Maintains and applies current knowledge of relevant practices and science in the field of expertise. Operational Expertise: Identifies opportunities for improved operational efficiency, applies quality standards, and ensures accuracy and completeness of work outputs. Core Technical Skills: Strong experience as a Full Stack Software EngineerAdvanced knowledge of: C#, .NET Framework, .NET Core, ASP.NET Web APIAngularRESTful APIs and microservices architecturesSQL and relational database designRedisAsynchronous messaging systems (RabbitMQ, MassTransit, Azure Service Bus)Solid understanding of: OOP, SOLID principlesDomain-Driven Design (DDD)Clean Code practicesIf you think that you have the needed requirements click on the apply button to join us and be the difference. If making a difference matters to you, then you matter to us. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected status, in accordance with local regulations.#LI-HybridOur Interview PracticesTo 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. xhfqzwm Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. SummaryLocation: ESP
- Barcelona; ESP
- Valencia, Av. Cortes Valencianas; ESP
- Madrid, Castellana; ESP
- BilbaoType: Full time

? Senior product software engineer - ai native (España)
? Wolters Kluwer
? España