Application Developer-AWS Cloud FullStack

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio

Your Role And Responsibilities

• Design, develop, test, and deploy full-stack applications using AWS services.
• Write clean, maintainable code in front-end and back-end technologies (e.g., React, Angular, Node.js, Python, Java).
• Develop APIs (REST/GraphQL) and integrate with various third-party services.
• Implement CI/CD pipelines for automated testing and deployment.
  
  

Cloud Infrastructure (AWS)

• Build and manage serverless architectures using AWS Lambda, API Gateway, DynamoDB, S3, CloudFormation, etc.
• Configure and maintain AWS resources for application hosting, security, scalability, and performance.
• Monitor and troubleshoot application issues using AWS CloudWatch and other observability tools.
  
  

DevOps And Security

• Implement Infrastructure as Code (IaC) using tools like AWS CloudFormation, Terraform, or CDK.
• Ensure security best practices, including IAM roles/policies, encryption, and secure coding practices.
• Participate in performance tuning and optimization.
  
  

Collaboration & Communication

• Work with product managers, UI/UX designers, and QA engineers to deliver high-quality software solutions.
• Participate in Agile/Scrum ceremonies including daily standups, sprint planning, and retrospectives.
• Document code, systems, and processes as needed.
  
  

Required Skills

Required technical and professional expertise

• 7+ years of hands-on full stack development experience
• Strong proficiency in Java (Spring Boot) and Angular (v7+)
• Proven expertise in REST API implementation
• Practical experience using AI tools or frameworks (e.g., OpenAI APIs, TensorFlow, Hugging Face, AWS AI/ML tools)
• Solid understanding of CI/CD workflows, Git, and software versioning
• Strong experience with SQL/NoSQL databases
• Experience in Agile/Scrum methodologies
• Strong analytical and communication skills
  
  

Preferred Skills

Preferred technical and professional experience

• Experience with AWS (EC2, Lambda, S3, API Gateway, RDS, SageMaker, etc.)
• Familiarity with containerization (Docker, Kubernetes)
• Knowledge of microservices architecture and serverless computing