Associate Product Software Engineer -… at Wolters Kluwer · Kennesaw

Summary: Wolters Kluwer is seeking an Associate Product Software Engineer to join their innovative team. The role focuses on developing and maintaining automated testing solutions and integrating them into CI/CD pipelines to enhance software quality and reliability across their product portfolio. Responsibilities: - Learning, implementation, and execution of well‑defined tasks are central to this position under appropriate technical guidance - Automated Test Development: Assist in designing, coding, and maintaining automated unit, integration, functional, smoke, regression, and load tests - Test Integration: Support the integration of automated tests into continuous integration and continuous delivery (CI/CD) pipelines to ensure automated validation from pull request through deployment - Test Code Engineering: Write and maintain test code that follows established coding standards, patterns, and best practices, treating test software as production‑quality code - Defect Detection and Analysis: Identify, log, and assist in analyzing software defects surfaced through automated test results, logs, and metrics - Collaboration Across Teams: Work collaboratively with software engineers, quality assurance engineers, DevOps engineers, and load test engineers to support an automated, end‑to‑end SDLC - Shift‑Left Testing Support: Assist in developing and maintaining testing assets alongside feature development to ensure testing occurs early in the development lifecycle - Version Control and Code Review: Use source control systems to manage test code changes and participate in code reviews to ensure correctness and maintainability - Debugging and Troubleshooting: Aid in debugging test failures, automation issues, pipeline problems, and environment‑related failures - Requirements and System Understanding: Develop an understanding of application behavior, system requirements, and non‑functional expectations such as performance, availability, and reliability - Quality Metrics and Coverage: Support efforts to improve test coverage, execution reliability, and confidence metrics across a large application portfolio - Learning and Skill Development: Continuously learn automated testing methodologies, tools, frameworks, CI/CD practices, and AI‑assisted development techniques supported by the organization Required Qualifications: - Learning, implementation, and execution of well‑defined tasks are central to this position under appropriate technical guidance - Autonomy and responsibility are expected to increase over time as skills, experience, and familiarity grow within our application domains - Automated Test Development: Assist in designing, coding, and maintaining automated unit, integration, functional, smoke, regression, and load tests - Test Integration: Support the integration of automated tests into continuous integration and continuous delivery (CI/CD) pipelines to ensure automated validation from pull request through deployment - Test Code Engineering: Write and maintain test code that follows established coding standards, patterns, and best practices, treating test software as production‑quality code - Defect Detection and Analysis: Identify, log, and assist in analyzing software defects surfaced through automated test results, logs, and metrics - Collaboration Across Teams: Work collaboratively with software engineers, quality assurance engineers, DevOps engineers, and load test engineers to support an automated, end‑to‑end SDLC - Shift‑Left Testing Support: Assist in developing and maintaining testing assets alongside feature development to ensure testing occurs early in the development lifecycle - Version Control and Code Review: Use source control systems to manage test code changes and participate in code reviews to ensure correctness and maintainability - Debugging and Troubleshooting: Aid in debugging test failures, automation issues, pipeline problems, and environment‑related failures - Requirements and System Understanding: Develop an understanding of application behavior, system requirements, and non‑functional expectations such as performance, availability, and reliability - Quality Metrics and Coverage: Support efforts to improve test coverage, execution reliability, and confidence metrics across a large application portfolio - Learning and Skill Development: Continuously learn automated testing methodologies, tools, frameworks, CI/CD practices, and AI‑assisted development techniques supported by the organization - 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, including familiarity with programming languages, software architecture, and testing approaches - Programming: The ability to design, write, test, debug, and maintain code using languages such as Python, Java, or C++ - Problem Solving: The ability to analyze complex problems, identify possible approaches, and implement effective solutions - Analysis: The ability to break down complex systems or issues and understand how components interact - Testing: The ability to evaluate software systems and processes to identify defects and ensure quality and functionality - Agile: Familiarity with agile principles emphasizing adaptability, continuous improvement, and iterative delivery - Source Code Repository: The ability to use source code repositories to manage changes, collaborate with others, and participate in branching and merging workflows - Relational Database: The ability to work with relational databases, including basic SQL usage and understanding of data relationships - Advanced Technology Adoption and Utilization: AI Tool Proficiency for basic coding, debugging, and documentation - AI Output Validation to verify correctness and functionality - Responsible AI Usage in accordance with organizational guidelines - Basic Agent Usage for routine development and automation tasks - Analytical Skills - Inclusive Collaboration - Drive to Perform - Accountability - Functional Expertise - Operational Expertise Required Skills: Automated Test Development, CI/CD pipelines, Test Code Engineering, Defect Detection and Analysis, Software Development, Python, Java, C++, Source Code Repository, Relational Database, SQL, AI Tool Proficiency, AI Output Validation, Responsible AI Usage, Basic Agent Usage, Inclusive Collaboration Benefits: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, Paid Parental Leave