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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Full Stack Developer - **Company:** OP Consulting Group LLC - **Location:** Harrisburg, PA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Training Data, Multitier Architecture, Agile Methodology, Artificial Intelligence, Application Performance Management, Automation of Tests, Microsoft Azure, Business Software, C Sharp (Programming Language), Software as a Service, Cloud Computing, Code Coverage, Code Generation, Software Quality, Code Review, Databases, Information Engineering, Data Security, Cursor, Database Queries, Software Debugging, Software Design Patterns, DevOps, Programming Tools, Electronic Data Interchange (EDI), Github, IT Management, JSON, Microsoft Dynamics, Microsoft SQL Server, Node.Js, OAuth, Object-Oriented Software Development, Oracle (Applications), Performance Tuning, Scrum Methodology, Openid Connect, OpenAI, Salesforce.Com, SAP (Applications), Software Engineering, SQL Stored Procedures, Software Vulnerability Management, Web Applications, Web Application Frameworks, Enterprise Application Integration, Enterprise Software Applications, Cloud Platform System, Microsoft Power Automate, Spring Cloud, GitHub Copilot, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Vue.js, AngularJS, Solid Principles, Kubernetes, Information Technology, Front End Software Development, Claude, Virtual Agents, Invoking Functions, Api Design, Restful APIs, Integration Monitoring, Code Restructuring, GPT, Data Pipelines, Devsecops, Api Management, Serverless Computing, Docker, Legacy Systems, Jenkins, Microservices - **Published:** October 30, 2026 - **Apply:** https://www.dice.com/job-detail/78befb82-5c63-4fcc-b5bd-bcce07ca5775 ## About the Role 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., + 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. ## Description * 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.