Senior Product Software Engineer
About the role
We are seeking a highly skilled Senior Developer with strong hands-on expertise in the Microsoft technology stack and cloud solutions to design, build, and deliver enterprise-grade applications. The ideal candidate will work closely with architects, technical leads, and business stakeholders to ensure high-quality, scalable, and secure solutions.
Key Responsibilities:
Design, develop, and maintain applications using .NET Core, C#, ASP.NET Core (Web API, MVC), Angular 14+.
Build modern, responsive front-end interfaces with Angular (latest versions), TypeScript, HTML5, CSS3.
Design and optimize relational databases (SQL Server, MySQL, etc.) for high performance and scalability.
Develop and consume REST APIs and integrate with cloud services.
Deploy, monitor, and manage services in Microsoft Azure (App Services, Azure Functions, APIM, Storage, Service Bus).
Contribute to solution design and participate in technical discussions and code reviews.
Implement automated unit and integration testing to maintain high code quality.
Work on performance optimization, troubleshooting, and production issue resolution.
Collaborate with cross-functional teams in Agile/Scrum environments.
Participate in continuous improvement of development practices and processes.
Required Skills & Qualifications:
Strong programming skills in C#, latest .Net Framework/.Net 6 and Angular
Hands-on experience with Azure Cloud Services (Azure/AWS) and deployment pipelines.
Advanced proficiency in SQL Server/MySQL (database design, optimization, stored procedures, indexing).
Experience with latest Angular version and building enterprise-grade web UIs.
Familiarity with microservices architecture and event-driven patterns.
Experience using DevOps tools (Azure DevOps, Git, CI/CD pipelines).
Good understanding of security best practices (OAuth2, OpenID Connect, OWASP).
Strong debugging, problem-solving, and analytical skills.
Excellent communication and teamwork abilities.
Nice-to-Have Skills:
Exposure to AI/ML, GenAI integrations, or GitHub Copilot.
Experience with Docker, Kubernetes, or containerized deployments.
Familiarity with DDD, Clean Architecture, CQRS patterns.
Knowledge of NoSQL databases (Cosmos DB, MongoDB) and caching solutions (Redis).
Understanding of cloud cost optimization principles.
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.
Questions about this role
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