Wilmington On-Site Software Engineer - Azure & AI

Bayforce, Inc.

Wilmington (DE)

On-site

USD 120,000 - 170,000

Full time

27 hours ago
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Job summary

Bayforce, Inc. is seeking Software Engineers for a 1-year engagement in Wilmington, DE.

You will design, develop, test, and support enterprise applications, APIs, integrations, and cloud-native solutions using .NET, C#, Angular/React, SQL Server, and Azure services. You'll build scalable, secure Azure-based solutions, contribute to AI-enabled development using GitHub Copilot and OpenAI tools, and collaborate with architects and product teams to deliver production-ready implementations while

Qualifications

  • 5+ years (SE2) or 8+ years (SE3) of software engineering experience with strong Azure cloud implementation.
  • Experience with AI-enabled application development.
  • Ability to translate requirements into production-ready solutions.

Responsibilities

  • Design, develop, test, and support enterprise apps, APIs, integrations, and cloud-native solutions.
  • Build scalable, secure Azure-based solutions and CI/CD pipelines.
  • Collaborate with architects, product owners, and teams to implement requirements.
  • Implement automated testing, observability, security controls, and best practices across the SDLC.
  • Participate in code reviews, production support, and modernization efforts.

Skills

Azure cloud implementation
Software engineering
AI-enabled development
CI/CD pipelines
Code reviews

Tools

Azure App Services
Azure Functions
API Management
Service Bus
Azure SQL
GitHub Copilot
OpenAI Azure

Job description

Bayforce, Inc. is seeking Software Engineers for a 1-year engagement in Wilmington, DE.

You will design, develop, test, and support enterprise applications, APIs, integrations, and cloud-native solutions using .NET, C#, Angular/React, SQL Server, and Azure services. You'll build scalable, secure Azure-based solutions, contribute to AI-enabled development using GitHub Copilot and OpenAI tools, and collaborate with architects and product teams to deliver production-ready implementations while

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