Full Stack Software Engineer – AI & Azure

Position Overview
We are seeking a highly experienced, hands-on Senior Full Stack Developer with at least 10 years of professional software development experience to design, develop, integrate, and maintain scalable, secure, and high-performance enterprise applications.
The ideal candidate will have strong expertise in modern front-end and back-end technologies, cloud-native architecture, API development, database management, and enterprise systems integration. The candidate must also demonstrate practical experience using AI-powered development tools, Generative AI, and intelligent automation to improve software engineering productivity, code quality, testing, and application capabilities.
This is a 100% onsite position in Harrisburg, PA. Candidates must be willing and able to work onsite five days a week and collaborate closely with enterprise application teams, business stakeholders, solution architects, and IT leadership.
Key Responsibilities
1. Full Stack Application Development

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

2. AI-Powered Software Engineering

• Actively utilize AI-assisted development tools to accelerate application development, debugging, refactoring, documentation, and testing.
• Demonstrate hands-on experience with AI-powered development tools, including:
  • GitHub Copilot: AI-assisted coding, code generation, refactoring, and unit test creation.
  • ChatGPT / OpenAI: Technical problem-solving, code optimization, API integration, and development productivity.
  • Claude: Code analysis, technical documentation, and development assistance.
  • Cursor / Windsurf: AI-native development environments and agent-assisted coding.
  • Microsoft Azure AI Foundry / Azure OpenAI: Enterprise AI application development and integration.
• Evaluate and implement AI-based development workflows to improve engineering efficiency and software quality.
• Develop AI-enabled application features using LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG), and enterprise knowledge integration.
• Understand AI agent frameworks, function calling, vector databases, and AI orchestration patterns.
• Ensure AI-generated code meets organizational security, compliance, performance, and quality standards.
• Follow responsible AI practices, including protecting confidential information, validating AI-generated outputs, and securely handling enterprise data.

3. Enterprise Application Integration

• Design and develop integrations across enterprise platforms, SaaS applications, and internal systems.
• Build secure APIs and integration services using REST, JSON, OAuth 2.0, and OpenID Connect.
• Integrate with enterprise platforms such as Microsoft Dynamics 365, Salesforce, SAP, Oracle, or other business applications, as applicable.
• Develop automated workflows and integrations using Azure Logic Apps, Azure Functions, Power Automate, or comparable technologies.
• Support data exchange, transformation, synchronization, and integration monitoring.
• Troubleshoot complex application and integration issues across multiple systems.

4. Cloud, DevOps, and Automation

• Design and deploy cloud-native applications using Microsoft Azure.
• Implement CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or equivalent platforms.
• Work with Docker, Kubernetes, serverless computing, and infrastructure-as-code technologies.
• Implement automated unit, integration, regression, and API testing.
• Utilize AI-assisted testing tools to improve test coverage and identify defects.
• Monitor application performance, security, availability, and operational reliability.
• Support secure software delivery practices, including DevSecOps and vulnerability remediation.

5. Database and Data Engineering

• Develop and maintain database solutions using Microsoft SQL Server.
• Write complex SQL queries and stored procedures.
• Design data models and optimize database performance.
• Implement secure data access and integration patterns.
• Support data pipelines and AI-ready data architectures where required.

6. Technical Leadership and Collaboration

• Serve as a senior technical contributor and mentor to development team members.
• Lead technical design discussions and recommend scalable engineering solutions.
• Collaborate with business analysts, solution architects, product owners, and enterprise application teams.
• Translate complex business requirements into maintainable technical solutions.
• Participate in Agile ceremonies, sprint planning, estimation, and delivery activities.
• Develop technical documentation, architecture diagrams, and implementation standards.
• Identify opportunities to improve development processes through AI, automation, and reusable components.

Required Qualifications
Education and Experience

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
• Minimum of 10 years of professional software development experience, including significant hands-on full stack development.
• Demonstrated experience designing and delivering complex enterprise applications.
• Strong experience working in cross-functional enterprise IT environments.

Technical Skills

• Strong full stack development experience across frontend and backend technologies.
• Experience with JavaScript frameworks such as React, Angular, or Vue.js.
• Backend development expertise in .NET/C#, Node.js, or comparable technologies.
• Strong knowledge of RESTful APIs, microservices, and enterprise application integration.
• Experience with Microsoft Azure and cloud-native application development.
• Hands-on experience with SQL Server, database design, query development, and performance optimization.
• Experience with CI/CD pipelines, automated testing, and DevOps practices.
• Practical experience using AI-assisted development tools to improve software engineering productivity.
• Understanding of secure coding practices, application performance, and enterprise software architecture.
• Strong analytical, troubleshooting, communication, and problem-solving skills.

Preferred Qualifications

• Experience building AI-enabled enterprise applications using LLM APIs, RAG, prompt engineering, and AI orchestration.
• Experience with GitHub Copilot, ChatGPT/OpenAI, Claude, Cursor, Windsurf, or similar AI-assisted development tools.
• Familiarity with Azure AI Foundry or Azure OpenAI.
• Experience with vector databases, AI agents, function calling, and enterprise knowledge integration.
• Experience with Microsoft Dynamics 365, Salesforce, SAP, Oracle, or comparable enterprise platforms.
• Knowledge of Docker, Kubernetes, serverless computing, and infrastructure-as-code tools.
• Experience implementing secure, scalable, and maintainable applications in large enterprise environments.
• Experience mentoring developers and contributing to technical architecture decisions.

The ideal candidate is a senior-level, hands-on Full Stack Developer with 10+ years of experience building enterprise applications across frontend, backend, cloud, databases, and integrations.
The candidate should combine strong traditional software engineering skills with practical experience using AI-assisted development tools and building AI-enabled application capabilities. The ability to contribute independently, guide technical decisions, and collaborate effectively with enterprise stakeholders is essential.