Product Software Engineer

Design automation systems that function like an automated logistics center, reliably receiving, processing, transforming, and delivering thousands of files and transactions daily.

Build fault-tolerant, self-healing workflow platforms that execute in distributed Windows-based cloud environments.

Drive engineering excellence, resiliency, operational scalability, and maintainable software design.

Design, develop, and maintain large-scale workflow automation platforms that process high volumes of files, documents, and business transactions.

Build resilient software systems that ingest, validate, transform, enrich, and export data across multiple internal and external systems.

Engineer fault-tolerant solutions capable of detecting failures, recovering automatically, and minimizing operational intervention.

Develop automation frameworks that interact with Windows desktop applications, cloud services, databases, APIs, file systems, and third-party platforms.

Design and implement workflow orchestration, checkpointing, retry strategies, state management, and recovery mechanisms.

Support and modernize existing applications by leveraging legacy MVC implementations while developing and integrating modern RESTful and GraphQL interfaces.

Develop solutions that operate within distributed cloud-hosted virtual machine environments and support large-scale concurrent processing workloads.

Create telemetry, monitoring, logging, and diagnostic capabilities.

Leverage modern AI-assisted development workflows where appropriate.

Bachelor degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.

5+ years of professional software engineering experience.

Strong experience developing applications using C#,.NET Framework,.NET Core, and modern.NET platforms.

Experience designing workflow automation, process orchestration, or systems integration solutions.

Strong understanding of object-oriented design and software engineering principles including SOLID, DRY, Clean Code, and design patterns.

Strong SQL and data analysis skills.

Experience working with Azure cloud services and distributed application architectures.

Experience building enterprise workflow automation solutions that process large volumes of customer files and transactions.

Experience designing automation that operates reliably within Windows-based virtual machine environments and unattended execution scenarios.

Experience building systems that support bulk file ingestion, processing, transformation, and export workflows.

Understanding of ETL and ELT methodologies including data mapping, transformation, validation, reconciliation, and migration processes.

Experience with queue-based architectures, event-driven systems, asynchronous processing, and distributed workloads.

Experience automating Windows desktop applications running in unattended or headless execution environments.

Experience interacting with file systems, background processes, services, application interfaces, and system IO.

Ability to develop robust abstraction layers that tolerate application evolution and configuration changes.

Experience with virtualized Windows environments and cloud-hosted worker infrastructure.

SOLID design principles.

DRY methodologies.

Clean Code practices.

Dependency Injection patterns.

Unit testing and automated validation strategies.

Continuous Integration and Continuous Delivery (CI/CD).

Observability and production monitoring practices.

Design systems that fail gracefully.

Recover automatically.

Support checkpoint-based recovery.

Preserve transactional integrity.

Provide actionable telemetry and logging.

Operate reliably under sustained high-volume processing conditions.

Familiarity with Agentic SDLC practices and emerging AI-assisted engineering workflows.

Experience utilizing Specification Driven Development (SDD) approaches and understanding both benefits and limitations.

Ability to apply engineering judgment when leveraging AI-assisted development tools

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.

Compensation:

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.