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Application Architect - AWS Cloud

Pubblicato il 23-10-2026 - International Business Machines in Italia

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 Architect specializing in AWS Cloud, you will analyze and translate IT requirements into components of a modernized solution using modernization frameworks. You will leverage your expertise in legacy asset analysis, code restructuring, and refactoring to deliver solutions.

Your primary responsibilities will include:

- Design Modernized Solutions: Analyze IT requirements and translate them into components of a modernized solution using modernization frameworks, ensuring effective legacy asset analysis, code restructuring, and refactoring.
- Develop Cloud Applications: Develop and test applications in cloud environments, utilizing knowledge of AWS ECS, AWS Lambda function, Elastic Cache, and S3 objects to ensure seamless integration and service exposure.
- Enhance Digital Assets: Reuse and enhance digital modernization assets, methods, and collateral to drive efficient solution delivery and business logic extraction into executable business rules.
- Collaborate with Teams: Work closely with Delivery/Engagement teams to ensure successful solution implementation and provide expertise in one or more legacy platforms.
- Optimize System Integration: Interface components for reuse by Systems of Engagement, applying expertise in integration and service exposure mechanisms.

Required technical and professional expertise

- Legacy Asset Analysis Expertise:



Experience with analyzing and translating IT requirements using modernization frameworks into components of a modernized solution, including legacy asset analysis, code restructuring, and refactoring.
- Cloud Application Development Knowledge: Experience in developing and testing applications in cloud environments, specifically with AWS ECS, AWS Lambda function, Elastic Cache, and S3 objects.
- Legacy Platform Expertise: Experience with one or more legacy platforms, including integration and service exposure mechanisms to interface components for reuse by Systems of Engagement.
- Business Logic Extraction Skills: Experience in extracting business logic into executable business rules, leveraging expertise in code conversion and refactoring.
- Digital Modernization Asset Enhancement: Experience in reusing and enhancing digital modernization assets, methods, and collateral to drive efficient solution delivery.

Preferred technical and professional experience

- Familiarity with Modernization Frameworks: Experience with analyzing and translating IT requirements using modernization frameworks, including legacy asset analysis, code restructuring, and refactoring, is beneficial.
- Knowledge of Additional AWS Services: Familiarity with other AWS services beyond ECS, Lambda function, Elastic Cache, and S3 objects can be advantageous in designing and developing modernized solutions.
- Exposure to Multiple Legacy Platforms: Experience with multiple legacy platforms, including integration and service exposure mechanisms, can be valuable in driving efficient solution delivery.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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