Lead Technical Architect

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 drive business logic extraction into executable business rules. Your primary responsibilities will include: • Design Modernized Solutions: Analyze and translate IT requirements into components of a modernized solution using modernization frameworks, ensuring seamless integration with legacy platforms and cloud environments. • Lead Code Restructuring: Apply expertise in code restructuring, refactoring, and conversion to drive business logic extraction into executable business rules, enhancing the efficiency of Systems of Engagement. • Develop Cloud Applications: Collaborate with Delivery/Engagement teams to develop and test applications in cloud environments, leveraging knowledge of AWS ECS, AWS Lambda function, Elastic Cache, and S3 objects. • Enhance Digital Assets: Reuse and enhance Digital modernization assets, methods, and collateral to drive innovation and transformation in application architecture. • Drive Service Exposure: Design and implement integration and service exposure mechanisms to interface components for reuse by Systems of Engagement.

Required technical and professional expertise

• Preferred 20+ years of experience.

• Legacy Asset Analysis Expertise: Deep expertise in analyzing and understanding legacy platforms, including code restructuring, refactoring, and conversion to drive business logic extraction into executable business rules.

• Cloud Environment Development Experience: Experience with developing and testing applications in cloud environments, specifically with AWS ECS, AWS Lambda function, Elastic Cache, and S3 objects.

• Modernization Frameworks Knowledge: Deep understanding of modernization frameworks to analyze and translate IT requirements into components of a modernized solution.

• Integration and Service Exposure Expertise: Experience with designing and implementing integration and service exposure mechanisms to interface components for reuse by Systems of Engagement.

• Digital Modernization Asset Enhancement Experience: Experience with reusing and enhancing Digital modernization assets, methods, and collateral to drive innovation and transformation in application architecture.

Preferred technical and professional experience

• Legacy Platform Familiarity: Deep expertise in one or more legacy platforms, including knowledge of integration and service exposure mechanisms to interface components for reuse by Systems of Engagement.

• Cloud Development Knowledge: Familiarity with development and testing of applications in cloud environments, specifically with AWS ECS, AWS Lambda function, Elastic Cache, and S3 objects.

• Digital Asset Enhancement: Experience with reusing and enhancing Digital modernization assets, methods, and collateral to drive innovation and transformation in application architecture.

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.