Solution Architect

Solutions Architect is a key technical leadership role responsible for designing and implementing cloud solutions using Microsoft Azure. This position demands a blend of strategic vision, technical expertise, and strong collaboration skills to ensure that business and technical requirements are met through effective cloud architecture.

Key Responsibilities:

• Solution Design: Develop high-level architecture and design solutions that meet business and technical requirements.

• Technology Roadmap: Create and maintain a technology roadmap aligned with organizational goals and emerging technologies.

• Guidance and Mentorship: Provide technical leadership and mentorship to development teams, guiding them on best practices and architectural standards.

• Decision Making: Make informed decisions on technology choices, design patterns, and implementation strategies.

• Requirement Gathering: Work closely with business stakeholders to gather and understand requirements, translating them into technical specifications.

• Communication: Act as a bridge between business stakeholders and technical teams, ensuring clear communication and alignment.

• Technical Oversight: Oversee the implementation of architectural solutions, ensuring they adhere to design principles and meet quality standards.

• Integration: Ensure seamless integration of various systems, services, and applications within the Azure ecosystem.

• AI Integration: Architect and integrate Azure AI services, including cognitive services, machine learning models, and AI-driven applications.

• Data Strategy: Develop strategies for data management, including data lakes, data warehousing, and data governance.

• Security Architecture: Design secure solutions that comply with industry standards and regulations, leveraging Azure security services.

• Risk Management: Identify potential security risks and implement measures to mitigate them.

• Monitoring Setup: Establish monitoring and logging practices using Azure Monitor, Application Insights, and Log Analytics.

• Optimization: Continuously monitor and optimize system performance, reliability, and cost-efficiency.

Requirements:

• programming Languages: Proficiency in .NET, C#, and other relevant programming languages.

• API Development: Experience with RESTful APIs, GraphQL, and other API technologies.

• Database Management: Knowledge of SQL and NoSQL databases, especially Azure SQL Database, Cosmos DB, etc.

• Azure Platform Expertise

• Azure Architecture: Deep understanding of Azure services, architecture, and best practices.

• Azure DevOps: Knowledge of CI/CD pipelines, Azure DevOps, and related tools.

• Azure AI and Machine Learning: Experience with Azure AI services, Azure Machine Learning, and cognitive services.

• Cloud Architecture and Services

• Cloud Computing Concepts: Strong grasp of cloud computing principles, including IaaS, PaaS, and SaaS.

• Microservices and Containerization: Experience with microservices architecture, Kubernetes, and Docker.

• Serverless Computing: Familiarity with Azure Functions and other serverless technologies.

• Security and Compliance

• Identity and Access Management: Knowledge of Azure Active Directory, OAuth, and other IAM technologies.

• Security Best Practices: Familiarity with security principles and compliance standards (e.g., GDPR, HIPAA).

• Monitoring and Performance Tuning

• Monitoring Tools: Experience with Azure Monitor, Application Insights, and Log Analytics.

• Performance Optimization: Skills in tuning and optimizing applications and services for better performance.

Experience:

• Experience with Agile methodologies and project management tools.
• Certifications (Preferred)
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: DevOps Engineer Expert

15,000 د.إ - 18,000 د.إ a month