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We are seeking a skilled Fraud .NET Developer to design, develop, support, and maintain scalable applications that enable fraud detection, prevention, and investigation. This role requires strong hands-on experience with .NET Core, microservices architecture, API development, database technologies, and production support in a highly regulated financial environment.
Job Responsibility:
Design and develop automated workflows integrating multiple APIs, databases, and application user interfaces
Build, enhance, and maintain microservices-based applications using .NET Core and modern design patterns
Design, develop, and optimize database schemas, stored procedures, and functions to support high-volume fraud processing
Collaborate with business partners, architects, and analysts to translate requirements into technical user stories and provide accurate development estimates
Manage code promotion across environments and maintain required SDLC and compliance artifacts
Ensure code repository hygiene, including branching strategies, pull requests, peer reviews, and adherence to developer productivity and quality metrics
Participate in CI/CD pipelines, deployment automation, and release activities using DevOps tooling
Provide production support for fraud applications, including monitoring, troubleshooting, and resolving application and data issues
Investigate and resolve production incidents, root cause defects, and performance issues in accordance with SLAs
Partner with operations and business teams to ensure application stability, availability, and reliability
Support post-release validation, incident triage, and continuous improvement initiatives
Participate in on-call or rotational support as required
Participate in User Acceptance Testing (UAT) and defect resolution to meet release timelines
Support production deployments and ensure smooth post-release operations
Requirements:
ASP.NET Core
MVC
JavaScript
Bootstrap
CSS
Microservices development using .NET Core
Strong understanding of microservices architecture and design patterns