Senior Product Software Engineer at Wolters Kluwer

  • Company: Wolters Kluwer
  • Location: Multiple Locations
  • Salary: $93K – $162K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-06-02

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Job description

About the Role: Take your software engineering career to the next level as a Lead Product Software Engineer within TeamMate. You will play a key role in designing, developing, and leading the delivery of scalable, high-performing, and business-critical applications that operate 24/7/365. Your technical leadership, innovative mindset, and ability to leverage AI-First development practices and Spec Driven Development (SDD) will contribute to continuous product improvement, significantly enhancing engineering speed, quality, and user satisfaction. Responsibilities: • Lead Software Development: Take the lead in designing, developing, and maintaining complex, scalable software applications aligned with business and customer needs. • Technical Leadership & Design: Guide architectural decisions, design specifications, and implementation strategies, ensuring alignment with best practices, MVC patterns, and modern development standards. • AI-First Development & SDD: Lead the adoption of AI-First engineering practices and Spec Driven Development (SDD) to drive structured, specification-based development, leveraging AI tools to improve speed, consistency, and software quality. • Design Collaboration: Collaborate with cross-functional teams to define design specifications and technical solutions, incorporating diverse perspectives and aligning on shared goals. • Agile Planning & Execution: Work closely with Product Owners to refine and prioritize the backlog, provide technical estimates, and ensure successful execution of PI Planning and sprint activities within SAFe Agile practices. • Team Mentorship: Mentor and coach developers to grow technical expertise, including effective use of AI tools such as GitHub Copilot and adoption of SDD practices. • Effective Communication: Regularly communicate project updates, progress, risks, and challenges to stakeholders, leadership, and team members. • Technical Documentation: Prepare and maintain detailed technical specifications and structured documentation that support SDD and ensure alignment between requirements and implementation. • Performance Optimization: Identify bottlenecks and optimize software systems to improve overall performance, scalability, and efficiency. • Application Design: Lead the design of innovative, user-friendly applications that align with customer needs and industry standards. • Testing Strategies: Ensure comprehensive testing strategies, including unit testing and validation of AI-generated code, to maintain high reliability and quality. • Applied Problem Solving: Apply analytical and structured problem-solving approaches to resolve complex technical challenges and improve system design. • Issue Resolution: Collaborate with teams, Support, and clients to troubleshoot and resolve complex production issues in a timely and effective manner. • Source Control & Code Quality: Oversee code management practices, including branching, merging, peer reviews, and quality enforcement using tools such as SonarQube. • Continuous Improvement: Lead Root Cause Analyses (RCAs) and drive ongoing improvements in development processes, product quality, and team performance. • Knowledge Sharing: Maintain and share deep knowledge of TeamMate products, technologies, and workflows to support team success and customer outcomes. Skills: • Software Engineering: The ability to design, develop, and maintain enterprise-grade software systems using sound engineering principles, including scalability, reliability, and maintainability. • Software Development: The ability to design, write, test, and implement complex software applications, with a focus on architecture, performance, and continuous improvement. • Programming: Strong proficiency in modern programming languages and frameworks, including: C# / .NET Object-Oriented Programming (OOP) / Object-Oriented Design (OOD) Frontend technologies: Vue.js, Node.js, TypeScript, HTML, CSS • AI Technology Adoption and Utilization: AI Tool Proficiency: Effectiv

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