Product Software Engineer

Wolters Kluwer•Wichita, KS

45d•Hybrid

About The Position

Wolters Kluwer Tax and Accounting division, provides tax and accounting professionals and businesses of all sizes solutions that drive productivity, navigate change, and deliver better outcomes. As a Product Software Engineer, you will work in a product development team that develops highly configurable software in a collaborative environment employing agile development methodologies. You will participate in the entire life cycle of product development and contribute to building quality product offerings. You will also help design and implement strategies and tools for efficient and comprehensive automated testing. In this role, you will report to the Manager, Product Software Engineering, and work a hybrid schedule (2 days in office, 3 days from home).

Requirements

Bachelor's degree in IT or related field with 3+ years of software development experience.
Proficient in C#/.Net Core/.Net Framework, PowerShell, Visual Studio, and RESTful APIs.
Strong skills in code optimization, multi-threading, scalability, and application security.
Experience with SQL Server, Git, CI/CD pipelines, and Agile methodologies.
Familiarity with AngularJS, HTML5, CSS, JSON, and Azure cloud platform.
Exposure to microservices, event-driven architectures, and automated testing.
Working knowledge of AI technologies including prompt engineering, generative AI (GenAI), large/small/vision-language models (LLM, SLM, VLM), and OCR integration.
Excellent communication and collaboration skills.

Responsibilities

Develop and deploy applications to Azure using Azure DevOps and Azure PaaS.
Contribute to architecture documentation and participate in gate reviews including infrastructure, security, and performance.
Collaborate with product owners, designers, and developers to understand requirements and deliver user-friendly solutions.
Write clean, maintainable, and efficient code following best practices.
Perform unit testing and integration testing.
Troubleshoot, debug, and resolve production issues in a timely manner.
Ensure deliverables are self-certified before transitioning to QA and customers.
Perform other duties as assigned by the Manager.
Integrate AI-driven features such as OCR and GenAI into software solutions.
Collaborate on training and fine-tuning AI models including LLMs, SLMs, and VLMs.
Explore and apply AI prompting techniques to enhance product functionality.