.NET Full Stack Developer – AI-Enabled Enterprise Applications

eBusiness Solutions Inc.; Harrisburg (Dauphin County); On-site; USD 120,000 - 180,000; Part time

Job summary

eBusiness Solutions Inc. is seeking a highly experienced .NET Full Stack Developer to design, develop, and maintain AI-enabled enterprise applications on a fully onsite basis in Harrisburg, PA.

You will work across front-end and back-end stacks, cloud-native architectures, and integration with major enterprise systems. The role emphasizes DevOps, AI-assisted development, and collaboration with stakeholders, architects, and leadership to deliver secure, scalable software in a modern enterprise

Qualifications

• Bachelor’s degree in CS/SE/IT or related field; 10+ years of software development experience.
• Extensive hands-on full-stack development experience in enterprise applications.
• Experience with .NET/C#, ASP.NET Core, and enterprise API development.
• Skilled in microservices, event-driven architectures, RESTful services, and integrations.
• Experience with DevOps and CI/CD practices in enterprise environments.
• Familiarity with AI-assisted development tools and AI-enabled software engineering workflows.
• Ability to collaborate with architects, product teams, and IT leadership onsite.

Responsibilities

• Design, develop, test, deploy, and maintain enterprise-grade web applications.
• Build responsive UIs with modern frameworks (React/Angular/Vue).
• Develop backend services using .NET/C# and Node.js.
• Design RESTful APIs, microservices, and event-driven architectures.
• Apply SOLID principles and clean architecture.
• Modernize legacy apps and integrate with cloud solutions.
• Participate in architecture reviews, design sessions, and code reviews.
• Lead technical discussions and mentor teams.

Skills

.NET/C#

ASP.NET Core

API development

Microservices

Event-driven

RESTful services

Enterprise integrations

DevOps

CI/CD

SQL Server

SQL performance

AI-assisted development

Education

Bachelor’s degree in Computer Science/Software Engineering/IT or related field

Tools

Kubernetes

Docker

Infrastructure as Code

Azure DevOps

GitHub Actions

Jenkins

Azure Functions

Azure Logic Apps

Power Automate

Job description

.NET Full Stack Developer – AI-Enabled Enterprise Applications

Job Id : eBS- 4430

Posted Date : 10/29/2026

Experience : -

Job Type : Contractual

Location : Harrisburg, PA

Overview :

.NET Full Stack Developer – AI-Enabled Enterprise Applications

Work Schedule

• Standard business hours
• 100% Onsite (Mandatory)

Travel

• Minimal travel expected
• May be required for project meetings, stakeholder engagements, or enterprise initiatives as needed

Position Overview

We are seeking a highly experienced .NET Full Stack Developer with 10+ years of software development experience to design, develop, integrate, and maintain secure, scalable, and high-performance enterprise applications. The successful candidate will possess deep expertise across front-end and back-end technologies, cloud-native architecture, enterprise integration, DevOps practices, and AI-enabled software engineering. This role requires close collaboration with business stakeholders, architects, development teams, and IT leadership in a fully onsite environment.

Key Responsibilities

Full Stack Application Development

• Design, develop, test, deploy, and maintain enterprise-grade web applications.
• Build responsive and accessible user interfaces using modern frameworks such as React, Angular, or Vue.js.
• Develop scalable backend services using .NET/C# and Node.js technologies.
• Design and implement RESTful APIs, microservices, and event-driven architectures.
• Apply object-oriented design principles, SOLID principles, design patterns, and clean architecture practices.
• Modernize legacy applications and integrate them with cloud-based solutions.
• Participate in architecture reviews, design sessions, and code reviews.

AI-Powered Software Engineering

• Utilize AI-assisted development tools to enhance coding productivity, testing, documentation, and application delivery.
• Leverage technologies such as:
  • GitHub Copilot
  • ChatGPT/OpenAI
  • Claude
  • Cursor
  • Windsurf
  • Azure AI Foundry
  • Azure OpenAI Services
• Implement AI-based software engineering workflows and development accelerators.
• Develop AI-enabled application features using:
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Enterprise Knowledge Integration
• Work with AI agent frameworks, vector databases, orchestration platforms, and function-calling architectures.
• Ensure AI-generated code complies with organizational security, compliance, and quality standards.
• Promote responsible and secure usage of enterprise AI technologies.
• Design and develop integrations across enterprise platforms and business applications.
• Build secure APIs and integration services utilizing:
  • REST
  • JSON
  • OAuth 2.0
  • OpenID Connect
• Integrate enterprise platforms such as:
  • Microsoft Dynamics 365
  • Salesforce
  • SAP
  • Oracle
• Implement integrations using Azure Logic Apps, Azure Functions, Power Automate, and similar technologies.
• Support data synchronization, transformation, monitoring, and troubleshooting across enterprise environments.

Cloud, DevOps & Automation

• Design and deploy cloud-native applications on Microsoft Azure.
• Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or equivalent tools.
• Implement containerized and serverless solutions utilizing:
  • Docker
  • Kubernetes
  • Azure Functions
  • Infrastructure as Code (IaC)
• Develop automated testing strategies including unit, integration, regression, and API testing.
• Utilize AI-assisted testing platforms to improve quality and test coverage.
• Monitor application performance, reliability, security, and operational health.
• Support DevSecOps initiatives and vulnerability remediation efforts.
• Design and maintain SQL Server database solutions.
• Develop complex SQL queries, stored procedures, and optimized data models.
• Implement secure data access and integration patterns.
• Support data pipelines and AI-ready data architectures.
• Optimize database performance and scalability.

Technical Leadership & Collaboration

• Serve as a senior technical contributor and mentor for development teams.
• Lead technical design discussions and architecture decisions.
• Collaborate with business analysts, solution architects, product owners, and enterprise stakeholders.
• Translate business requirements into scalable technical solutions.
• Participate in Agile ceremonies, sprint planning, estimation, and delivery activities.
• Develop technical documentation, standards, and architecture diagrams.
• Drive process improvements through automation, AI adoption, and reusable development frameworks.

Required Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
• Minimum 10 years of professional software development experience.
• Extensive hands-on experience in full stack application development.
• Demonstrated success designing and delivering complex enterprise applications.
• Experience working within large-scale enterprise IT environments.
• Strong background collaborating with cross-functional teams and business stakeholders.

Technical Qualifications

• Strong experience with .NET/C#, ASP.NET Core, and enterprise API development.
• Experience building microservices and event-driven architectures.
• Deep knowledge of RESTful services and enterprise integrations.
• Experience implementing DevOps and CI/CD practices.
• Advanced SQL Server development and performance optimization skills.
• Experience utilizing AI-assisted development tools in software engineering workflows.

Preferred Qualifications

• Experience developing Generative AI solutions and AI-enabled enterprise applications.
• Experience implementing RAG architectures and AI agent frameworks.
• Experience with Azure AI Foundry and Azure OpenAI Services.
• Knowledge of vector databases and enterprise AI orchestration platforms.
• Experience with Microsoft Dynamics 365, Salesforce, SAP, Oracle, or similar enterprise systems.
• Experience with Kubernetes, Docker, and Infrastructure as Code tools.
• Microsoft Azure, AI, or cloud-related certifications.
• Experience supporting government, public sector, or highly regulated environments.
• Collaborative enterprise IT environment.
• Frequent interaction with architects, business stakeholders, development teams, and executive leadership.
• Fast-paced setting supporting enterprise modernization initiatives.