Sr. Full Stack Developer

We are seeking a seasoned Senior Full-Stack Developer to join our engineering team. In this role, you will be responsible for designing, building, and maintaining robust, scalable, and high-performance applications. Your primary focus will be crafting exceptional user experiences using Angular, while seamlessly integrating backend services and managing cloud infrastructure leveraging AWS. The ideal candidate is a self-starter who thrives in a collaborative environment and possesses a deep understanding of modern web technologies, cloud architecture, and AI-assisted software engineering practices.

The candidate should also be comfortable leveraging modern AI-powered development tools to accelerate development, improve code quality, automate testing, optimize cloud operations, and enhance engineering productivity.

• Angular (v14+)
• Type Script
• RxJS
• NgRx/State Management
• HTML5
• CSS3/SASS
• Responsive Design
• Frontend Performance Tuning

• AWS Core Services (EC2, Lambda, S3, RDS, Dynamo
  
  DB, API Gateway, IAM)
• Java/Python
• RESTful APIs
• Microservices Architecture

• Git Hub Copilot, ChatGPT/Coding AI Assistants
• AI-assisted code generation
• Automated documentation
• Intelligent debugging
• AI-based test case generation
• AI-enabled Dev Ops monitoring

• Git
• CI/CD pipelines (AWS Code Pipeline, Jenkins, Git Hub Actions)
• Docker
• Terraform/Cloud Formation
• Agile/Scrum methodologies

• Sonar Qube
• Automated code quality analysis
• Security scanning

• Design and develop modular, reusable, and testable interactive features using Angular and Type Script.
• Implement robust state management solutions (e.g., NgRx or Akita) and handle complex asynchronous data streams using RxJS.
• Collaborate closely with UI/UX designers to translate wireframes and mockups into high-quality, pixel-perfect code.
• Utilize AI-assisted development tools for rapid prototyping, code optimization, refactoring, and debugging while adhering to engineering standards.

• Architect, deploy, and manage scalable backend services and microservices.
• Hands‑on configuration and management of AWS cloud infrastructure, utilizing serverless architectures (Lambda, API Gateway) where applicable.
• Design and implement secure, optimized RESTful or Graph
  
  QL APIs.
• Manage database integrations, including writing efficient queries and designing schemas for both SQL (RDS) and No
  
  SQL (Dynamo
  
  DB) databases.
• Leverage AI‑enabled cloud monitoring and observability tools for performance optimization, incident analysis, and operational efficiency.
• Support automation initiatives using AI‑powered infrastructure management and deployment practices.

• Adopt AI-assisted software development practices to improve delivery speed, code quality, and engineering productivity.
• Use AI tools responsibly for code suggestions, documentation generation, test automation, defect analysis, and technical research.
• Validate AI-generated outputs to ensure security, scalability, maintainability, and compliance with enterprise standards.
• Explore opportunities to integrate Generative AI or intelligent automation capabilities into enterprise applications where relevant.

• 7+ years of professional software development experience, with at least 4+ years dedicated to Angular and substantial hands‑on experience building/deploying on AWS.
• Strong exposure to AI‑assisted development tools such as Git Hub Copilot, ChatGPT, Amazon Code Whisperer, or similar engineering productivity platforms.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• AWS Certification (Preferred): AWS Certified Developer – Associate or AWS Certified Solutions Architect.
• Deep understanding of CI/CD concepts and Infrastructure-as-Code (Terraform, AWS Cloud Formation).
• Experience implementing secure coding standards, automated testing frameworks, and cloud security best practices.
• Excellent problem‑solving skills, verbal and written…