Product Software Engineer
About Wolters Kluwer
Dutch-listed information-services company selling expert software and content (UpToDate clinical decision support, CCH tax/accounting, TeamMate audit) to professionals in health, tax, legal, and compliance.
Public · 5000+ people
Job description
The full responsibilities and requirements are on the employer’s site.
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Internal deployment & tooling · Evidence for this classification:
Software Engineer, Data Workflow Automation Wolters Kluwer Tax & Accounting is seeking a Software Engineer, Data Workflow Automation, to design, build, and maintain resilient systems responsible for processing large volumes of customer data, documents, and transactions. This role focuses on engineering reliable workflow solutions that ingest, validate, transform, and export information across desktop applications, cloud services, APIs, databases, and file-based systems. Role Overview 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.
More from the job description
Software Engineer, Data Workflow Automation Wolters Kluwer Tax & Accounting is seeking a Software Engineer, Data Workflow Automation, to design, build, and maintain resilient systems responsible for processing large volumes of customer data, documents, and transactions. This role focuses on engineering reliable workflow solutions that ingest, validate, transform, and export information across desktop applications, cloud services, APIs, databases, and file-based systems. Role Overview 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. Essential Duties and Responsibilities 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 W [... source excerpt omitted ...] oncurrent processing workloads. Create telemetry, monitoring, logging, and diagnostic capabilities. Leverage modern AI-assisted development workflows where appropriate. Minimum Qualifications 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 [... source excerpt omitted ...] services and distributed application architectures. Data Workflow Automation Expertise 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 proc
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