Senior Product Software Engineer

Senior Product Software Engineer

Take your software engineering career to the next level as a Senior Product Software Engineer. You will play a key role in designing, developing, and troubleshooting software programs. Your technical skills and innovative mindset will contribute to the continuous improvement of our products, making a significant impact on user experience and satisfaction.

Responsibilities:

• Software Development: Participate in designing, developing, and maintaining complex software applications to meet project requirements.
• Design Collaboration: Collaborate with cross-functional teams to define design specifications and details, taking into account diverse perspectives.
• Effective Communication: Regularly communicate project updates, progress, and challenges to stakeholders and team members.
• Technical Documentation: Prepare detailed technical specifications and requirements documents to guide the development process.
• Performance Optimization: Identify bottlenecks and optimize software programs to improve overall performance and efficiency.
• Application Design: Participate in the design of innovative and user-friendly software applications that align with customer needs and industry standards.
• Testing Strategies: Create comprehensive testing routines and procedures to ensure the reliability and accuracy of software applications.
• Applied Problem Solving: Utilize mathematical principles and statistical approaches to solve intricate problems in scientific or applied fields within software projects.
• Issue Resolution: Collaborate with others to troubleshoot and resolve complex information technology issues that may arise during development.
• Data Preparation: Prepare and preprocess data for analysis, ensuring its accuracy and readiness for use in software applications.
• Technical Support: Provide technical support to end-users, including assistance with software maintenance, troubleshooting, and usage queries.

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.
• Software Development: The ability to design, write, test, and implement software programs, applications, and systems.
• 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.
• 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.
• Source Code Repository: The ability to effectively use a source code repository, a file archive, and a web hosting facility where a large amount of source code, for software or for web pages, is kept, either publicly or privately.
• Non-Relational Database: The ability to design, implement, and manipulate a non-relational database (MongoDB).
• APIs: The ability to design, develop, and manage Application Programming Interfaces, which constitute the set of protocols and tools used for building application software.
• Design: The ability to create, conceptualize, sketch, and implement layouts, structures, and plans either for aesthetic or functional purposes.
• Framework: The ability to understand, utilize, design, and develop complex structures and systems in various contexts such as programming, project management, or business strategy.
• Documentation: The ability to create, manage, organize, and maintain important information and documents in various physical and digital formats.
• Advanced Technology Adoption and Utilization: AI Tool Proficiency: Evaluate and optimize AI tool usage for team efficiency and productivity; AI Output Validation: Establish validation standards and review processes for AI-generated code; Responsible AI Usage: Lead responsible AI initiatives and establish team best practices; Agentic Workflow Design: Design and optimize AI agent workflows for team efficiency.

Competencies:

• Analytical Skills
• Inclusive Collaboration
• Drive to Perform
• Accountability
• Functional Expertise
• Operational Expertise

If 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.

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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.