Sr. Full Stack Developer

Experience Required:

10 Years

Work Location:

Onsite – Harrisburg, PA

Work Arrangement:

100% Onsite (Mandatory)

Complete Description:

We are seeking a highly experienced, hands-on developer with 10 years of software development experience to design, develop, integrate, and maintain scalable, secure, high-performance enterprise applications. The ideal candidate will possess deep 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 leveraging 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, requiring close collaboration with enterprise application teams, business stakeholders, architects, and IT leadership.

Key Responsibilities

• 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 back-end services using technologies such as .NET/C#, 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.
• AI-Powered Software Engineering
  • Actively utilize AI-assisted development tools to accelerate application development, debugging, refactoring, documentation, and testing.
  • Demonstrate hands-on experience with tools such as GitHub Copilot, ChatGPT/OpenAI, Claude, Cursor/Windsurf, Microsoft Azure AI Foundry/Azure OpenAI.
  • 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.
  • Promote responsible AI usage, including protection of confidential information, human review of AI-generated outputs, and secure handling of enterprise data.
• 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.
  • Work 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.
• 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.
• Database and Data Engineering
  • Work with SQL Server.
  • Develop complex queries, stored procedures, data models, and performance optimization strategies.
  • Implement secure data access and integration patterns.
  • Support data pipelines and AI-ready data architectures where required.
• 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.
  • Proactively 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 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.