Senior Product Software Engineer -AI FinOps & Platform

Role overview

Senior Product Software Engineer -AI FinOps & Platform at Wolters Kluwer

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

• Lead Software Development: Take the lead 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: Lead 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.
• 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 a 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.
• 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 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; and 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
• 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.

Employment details

• Location: IND-Pune-Smartworks [India]