Quick overview
Job description
Role: Kofax Developer
Location: Minneapolis, MN (Onsite Role)
Job type: Contract
Job Description:
• Design, architect, and implement enterprise-scale IDP and Capture solutions using Tungsten Total Agility (KTA).
• Develop business processes, embedded processes, subprocesses, process fragments, business rules, custom forms, work queues, dashboards, and reporting solutions.
• Configure and support Kofax Capture and KTM environments.
• Implement document classification, extraction, validation, and workflow automation capabilities.
• Develop REST API integrations with ECM, databases, cloud services, and enterprise applications.
• Provide technical leadership, code reviews, mentoring, estimation, deployment support, and production troubleshooting.
• Experience leading onsite/offshore teams.
• Architecture and solution design experience.
• Agile/Scrum delivery experience.
• Banking and Insurance domain experience.
• Kofax/Tungsten certifications preferred.
• Strong communication and stakeholder management skills.
• Excellent analytical and problem-solving capability.
• Ability to drive technical discussions with business and client teams.
• Strong mentoring and leadership skills.
Skills Required:
• 10+ years of Kofax/Tungsten Automation experience.
• 5+ years of Kofax Total Agility experience.
• 10+ years of Kofax Capture experience.
• 5+ years of KTM experience.
• 8+ years of .NET development experience.
• Experience with SQL Server, Oracle, REST APIs, AWS, OCR, and enterprise document processing platforms.
• Configure OCR/ICR engines.
• Implement content-based, layout-based, and script-based classification.
• Develop extraction solutions using format locators, advanced zone locators, script locators, and table extraction techniques.
• Maintain and optimize knowledge bases and validation rules.
• Tungsten Total Agility (KTA)
• Kofax Capture
• Kofax Transformation Modules (KTM)
• Kofax Process Insight
• C#, .NET Framework/.NET Core
• REST APIs and Web Services
• SQL Server and Oracle
• AWS Cloud
• AI-enabled Intelligent Document Processing.
Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required
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