full Developer

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 .
• Develop robust back-end services using technologies such /C#
• 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 tools such as:
  • 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.
• Promote responsible AI usage including protection of confidential information human review of AI-generated outputs and secure handling of 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.
• 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.

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

• 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.

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.
• Proactively identify opportunities to improve development processes through AI automation and reusable components.

Required Qualifications

Education and Experience

• Bachelors 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.