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.