Senior Product Software Engineer

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: Effectively leverage tools such as GitHub Copilot to improve development efficiency and code quality
• AI Output Validation: Establish validation standards for AI-generated code to ensure accuracy, security, and maintainability
• Agentic Workflow Design: Design and optimize AI-driven and agentic workflows to improve speed, reduce manual effort, and increase consistency
• Spec Driven Development (SDD): Apply structured specification-based development practices to ensure alignment between requirements, implementation, and testing, improving delivery speed and reducing defects
• Problem Solving: The ability to analyze complex technical challenges and implement effective, scalable solutions.
• Analysis: The ability to deconstruct systems and processes to identify improvements and optimize performance.
• Testing: Experience designing and implementing testing strategies, including unit testing and validation of AI-generated outputs to ensure software quality and reliability.
• Agile: Strong experience working in Agile / SAFe environments, supporting iterative development, adaptability, and continuous delivery.
• Source Code Repository: Proficiency in using Git for source control, including branching strategies, pull requests, merging, and collaboration workflows.
• Relational Database: Experience designing and working with relational databases, particularly SQL Server, including data modeling and query optimization.
• APIs: Ability to design, develop, and manage secure and scalable APIs that enable integration across systems.
• Design: Strong capability in designing systems, applications, and technical solutions that balance usability, performance, and maintainability.
• Framework: Deep understanding of application frameworks, architectural patterns (including MVC), and system design principles.
• Documentation: Ability to create, maintain, and manage structured technical documentation, particularly specification-driven artifacts supporting SDD.
  
  
  

Competencies:

• Analytical Skills
• Innovation & AI Adoption
• Technical Leadership
• Inclusive Collaboration
• Drive to Perform
• Accountability
• Functional Expertise
  
  
  

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 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.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$92,700.00 - $161,850.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.