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Tech in Computer Science, Information Technology or a related field.\n\nTech Stack & Capabilities : \n\n- Architectural Expertise : 12+ years of experience in technology delivery, with 2+ years dedicated to architecting scalable, secure, and cloud-native solutions across AWS, Azure, or multi-cloud environments.\n\n- Technology Leadership : Strong understanding of software development architecture, cloud computing, and modern technology stacks.\n\n- Enterprise Experience : Demonstrated ability to work in large organizational environments, navigating cross-functional teams and enterprise-wide technology strategies.\n\n- Cloud & DevOps Proficiency : Hands-on experience with cloud platforms (Preferably on AWS and Azure) and modern architectural patterns, including microservices and serverless computing.\n\n- Gen AI Expertise : Expertise in designing and deploying enterprise-grade GenAI and RAG architectures, with working knowledge of Amazon Bedrock and/or Azure AI Foundry.\n\n- An understanding of Agentic AI systems is desirable.\n\n- Development Methodologies : Strong knowledge in one or more of Agile, Kanban, Scrum, DevOps methodologies, etc.\n\n- Technical Tooling : Familiarity with version control systems (Git), infrastructure-as-code tools (Terraform/CDK/CloudFormation), and automation scripting (Python, JavaScript/TypeScript).\n\n- Security & Compliance : Understanding of security best practices, compliance frameworks, and risk management in enterprise IT environments.\n\n- Problem-Solving & Analytical Thinking : Ability to analyse complex technical challenges and propose effective solutions.\n\n- Excellent Communication & Stakeholder Management : Strong ability to translate technical concepts for diverse audiences and collaborate across business and technology teams.\n\n- Project & Task Management Tools : Experience with tools such as JIRA, Trello, or similar platforms for managing development activities.\n\nSkills\nSolution Architect, Cloud, AWS, Azure, Generative AI, Cloud Architect, Cloud Architect - 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