Sr.Backend Engineer

Summary

We are seeking a Senior C# /.NET Integration Engineer to design and build enterprise integrations, APIs, and data processing solutions in Azure environments. This role focuses on C# /.NET Core development, REST API design, SQL-based data work, JSON/XML transformations, ETL processes, and cloud-native Azure services.

The role partners closely with Product Owners, Business Analysts, and business stakeholders to implement integrations between upstream PLM systems, InRiver PIM, and downstream marketplace/syndication platforms. Experience using AI-assisted development tools such as GitHub Copilot or Microsoft Copilot to improve productivity and code quality is required.

Responsibilities

• Design and develop backend integrations and APIs using C# and .NET Core/.NET 6+.

• Build and maintain REST APIs with OpenAPI/Swagger documentation.

• Implement data transformation, mapping, and ETL processes for JSON and XML payloads.

• Develop and optimize SQL queries and batch processing for data validation and reconciliation.

• Implement asynchronous, dependency-injected, and SOLID-based solutions with unit and integration tests.

• Deploy and operate cloud-native components using Azure Functions, App Services, Azure SQL, Service Bus, and Azure Storage.

• Monitor applications and integrations using Application Insights and related monitoring tools.

• Collaborate with Product Owners, Business Analysts, and stakeholders to gather requirements and deliver integration solutions.

• Use AI-assisted development tools (GitHub Copilot, Microsoft Copilot) to generate, test, document, and validate code and to improve developer workflows.

• Review and validate AI-generated code, maintain code quality, and apply prompt engineering for development tasks.

Requirements

• 5+ years of professional backend development experience with C# and .NET Core / .NET 6+.

• Proven experience designing and developing REST APIs and OpenAPI/Swagger.

• Strong experience with JSON and XML processing, transformation, and mapping.

• Practical experience building ETL processes, batch processing, and data validation/reconciliation.

• Solid SQL development skills and query optimization experience.

• Solid experience with Azure DevOps or similar DevOps tools for development, deployment, or CI/CD workflows.

• Hands-on experience with Microsoft Azure services: Azure Functions, Azure App Services, Azure SQL, Azure Service Bus, and Azure Storage.

• Experience with API security concepts (OAuth, authentication, authorization).

• Competence in object-oriented design, SOLID principles, dependency injection, and asynchronous programming.

• Experience writing unit and integration tests and maintaining testable codebases.

• Demonstrated use of AI-assisted development tools such as GitHub Copilot or Microsoft Copilot and ability to review and validate AI-generated code.

• Strong communication skills and experience collaborating in Agile, cross-functional teams with Product Owners and Business Analysts.

• Experience designing or working with enterprise system integrations, ideally involving product data, PIM, MDM, PLM, eCommerce, marketplace, or syndication platforms.

Nice to Have

• Direct InRiver PIM development or customization experience.

• Experience with product information management, product enrichment workflows, or product syndication.

• Familiarity with PLM, MDM, or product catalog management domains.

• Experience with advanced AI tools or practices such as GitHub Copilot Enterprise, Microsoft Copilot Studio, Azure OpenAI, RAG workflows, AI-assisted development workflows, or Responsible AI / AI governance practices.

• Experience with marketplace integrations, eCommerce platforms, or downstream product syndication platforms.

• Experience with similar PIM platforms such as Akeneo, Salsify, Pimcore, Stibo Systems STEP, or Riversand.

Engagement & Logistics

• Engagement Length: From 6 to 11 months, with possibility of extension.

• Time Zone: EST

• Overtime Required: No

• Equipment: BYOD (Bring Your Own Device)

Selection process

1. Meeting with Resilient Co. team.
2. First technical interview (30 mins)
3. client technical interview (30 mins)
4. Possibly a second client interview (30 mins)