Lead Product Software Engineer

About the Role: Join us as a Lead Product Software Engineer, where you will independently execute specialized software development tasks. Your role will involve advanced coding, system design, and optimizing software solutions that enhance our products' performance and usability. Your expertise will ensure quality outcomes and drive technological innovations. Responsibilities: Design Collaboration and Specification: Collaborate with cross-functional teams to determine and define intricate design specifications and details. Innovative Software Application Design: Lead the design and architecture of innovative software applications that address challenging business requirements. Team Supervision: Supervise and mentor information technology personnel, providing guidance to enhance their skills and productivity. Technical Requirements Documentation: Document highly technical specifications or requirements, providing clear guidelines for the development team. Advanced Data Analysis: Utilize advanced data analysis techniques to extract valuable insights from project data, influencing software specifications and requirements. Performance Optimization Expertise: Lead efforts to optimize software programs at a high level, achieving significant improvements in performance and efficiency. Testing Strategy Development: Develop comprehensive and sophisticated testing routines and procedures, ensuring thorough software testing. Data Preparation and Analysis: Prepare and analyze complex data sets, providing valuable insights to inform software development decisions. High-level Technical Support: Offer advanced technical support for software maintenance, usage, and issue resolution, supporting other team members and stakeholders. Resource Requirement Identification: Identify and assess information technology project resource requirements, including personnel and infrastructure. Real-time System Monitoring: Implement advanced monitoring systems to ensure real-time performance evaluation and proper operation of computer systems. Skills: Software Engineering: The ability to design, develop, and maintain software systems and applications by applying principles and techniques of computer science, engineering, and mathematical analysis. This includes the capacity to understand user requirements, create and test the software, and resolve any software-related issues. Software Development: The ability to design, write, test, and implement software programs, applications, and systems. This includes understanding various programming languages, software architecture, and software testing methods. It also involves problem-solving capabilities to fix software issues and improve functionality. Programming: The ability to design, write, test, debug, and maintain the instructions, also known as code, that a computer must follow to execute a task. This skill often involves various programming languages such as Python, Java, or C++. Problem Solving: The ability to understand a complex situation or issue and devise a solution by defining the problem, identifying potential strategies, and ultimately choosing and implementing the most effective course of action. Analysis: The ability to examine complex situations or problems, break them down into smaller parts, and understand how these parts work together. Testing: The skill of evaluating a system or process, often in software or product development. It involves the ability to identify problems, measure effectiveness, and ensure quality or functionality. Agile: The ability to swiftly and effectively respond to changes, with an emphasis on continuous improvement and flexibility. In the context of project management, it denotes a methodology that promotes adaptive planning and encourages rapid and flexible responses to changes. Source Code Repository: The ability to effectively use a source code repository, a file archive and web hosting facility where a large amount of source code, for software or for web pages, is kept, either publicly or privately. This skill involves the ability to manage and track changes to code, identify and fix issues, merge code from different branches, and collaborate with other developers. Relational Database: The ability to design, implement, and manipulate a relational database, a type of database that stores and organizes data in a structured way and where data is logically interrelated. This skill often requires proficiency in SQL, database management systems, and an understanding of database design principles. APIs: The ability to design, develop, and manage Application Programming Interfaces, which constitute the set of protocols and tools used for building application software. This skill includes the capacity to create and maintain high-quality API documentation, implement API security practices, and understand API testing techniques. Additionally, having this ability means understanding how APIs enable interaction between different software systems, allowing them to communicate with each other. Design: The ability to create, conceptualize, sketch, and implement layouts, structures, and plans either for aesthetic or functional purposes. This could be used in various contexts such as architecture, fashion, graphics, interior, and more. It involves creativity, problem-solving, and strategic thinking. Framework: The ability to understand, utilize, design, and develop complex structures and systems in various contexts such as programming, project management, or business strategy. This ability requires critical thinking, problem-solving skills, and attention to detail. Automation: The ability to design, implement, manage, and optimize automated systems or processes, often using various software tools and technologies. This skill includes understanding both the technical elements and the business implications of automated systems. Documentation: The ability to create, manage, organize, and maintain important information and documents in various physical and digital formats. This skill may include preparing reports, managing files, storing data, and keeping records organized and updated for easy retrieval and understanding. Advanced Technology Adoption and Utilization: AI Tool Evaluation and Adoption: Lead selection and implementation of AI development tools and strategies across projects; AI Output Quality: Establish validation practices and quality checks for AI-generated code; Responsible AI Usage: Establish team guidelines and best practices for responsible AI tool usage, aligned to organizational policies and compliance; and AI Development Workflow: Design AI tool and agent workflows across development processes. Competencies: Analytical Skills Inclusive Collaboration Drive to Perform Accountability Functional Expertise Operational 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: $128,100.00 - $224,550.00 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