Overview
Skills
Job Details
System Soft Technologies is widely recognized for its professionalism, strong corporate morals, customer satisfaction, and effective business practices. We provide a full spectrum of business and IT services and solutions, including custom application development, enterprise solutions, systems integration, mobility solutions, and business information management. System Soft Technologies combines business domain knowledge with industry-specific practices and methodologies to offer unique solutions, and enable clients to compete with global standards. We find a client-centric approach and a passion for excellence is key in distinguishing ourselves from our competition and in accompanying you on your journey.
Qualifications and Responsibilities for Cloud migration Architect (SAP S4 HANA to AWS):
- Develop solution design in collaboration with business, enterprise architect and engineering team, ensure successful implementation of business functions (e.g., pricing, order capture, Invoice Management, etc.)
- Develop a solution that is easily consumable by multiple channels (Web/Mobile/Chat
- Develop architectures and solution artifacts (C4 model) that address functional-specific requirements, data models, system integration, and user interfaces adhering to enterprise standards and guidelines.
- Provide technical guidance to development teams during solution implementation, ensuring alignment with the architecture.
- Design highly available cloud native services and applications on AWS.
- Well versed in well architected framework on AWS.
- Knowledge of Search Platform (Coveo/OpenSearch preferred), SAP S/4, SAP Business Technology Platform (integration, connectivity, monitoring and error handling, extensibility, etc.), SAP Sales and Distribution module (Order Management, Pricing, Invoice Management, etc.) is a plus
- Strong understanding of Domain Driven Design, Enterprise Application Integration Kafka, Pub/Sub, APIs (REST, GraphQL, SAOP, etc), Security patterns and best practices for application development.
- Working knowledge in the architecture of agentic AI frameworks, large language models (LLMs), and multi-agent systems.