Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
As an Application Developer specializing in Application Modernization, you will play a crucial role in transforming legacy applications into modern, scalable, and cloud-ready solutions. You will collaborate with architects and consultants to execute modernization strategies and ensure technical feasibility. Your primary responsibilities will include:
- Develop Modern Applications: Develop and refactor applications using modern programming languages such as Java, .NET, Python, Node.js, and JavaScript. Implement microservices architectures and containerized solutions using Docker and Kubernetes.
- Integrate Cloud Platforms: Integrate applications with cloud platforms including AWS, Azure, IBM Cloud, and Google Cloud. Apply DevOps practices and tooling to support continuous integration, delivery, and monitoring.
- Migrate Legacy Codebases: Migrate legacy codebases (e.g., COBOL, RPG, C++) to modern platforms and languages. Incorporate generative AI capabilities into application workflows where applicable.
- Design Database Solutions: Design and implement secure, scalable, and maintainable database solutions. Support testing, debugging, and performance optimization throughout the development lifecycle.
- Implement APIs: Build and consume RESTful APIs and OpenAPI specifications to enable seamless integration across systems.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- Modern Programming Languages: Experience with modern programming languages such as Java, .NET, Python, Node.js, and JavaScript, including hands-on development and refactoring of applications.
- Cloud and Containerization: Experience with cloud platforms including AWS, Azure, IBM Cloud, and Google Cloud, as well as containerization using Docker and Kubernetes.
- Microservices Architecture: Experience implementing microservices architectures and designing scalable, maintainable systems.
- API Development: Experience building and consuming RESTful APIs and OpenAPI specifications to enable seamless integration across systems.
- Database Solution Design: Experience designing and implementing secure, scalable, and maintainable database solutions.
Preferred Technical And Professional Experience
- Generative AI Capabilities: Exposure to incorporating generative AI capabilities (Watson, Azure OpenAI, Bedrock, Vertex AI) into application workflows.
- Legacy Codebase Migration: Experience working with legacy codebases (e.g., COBOL, RPG, C++) and migrating them to modern platforms and languages.
- DevOps Practices: Exposure to applying DevOps practices and tooling to support continuous integration, delivery, and monitoring.
