Sr. Full Stack Developer

We are seeking a highly experienced, hands-on Senior FullStack 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

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 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.
  

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

• 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.