Azure Integration / Solution Architect

Role overview Take ownership of end-to-end solution architecture for Azure-based integration solutions across fintech, e-commerce, aviation, logistics, media, and fashion clients. Shape API-first and event-driven designs that connect Salesforce, Azure microservices, MuleSoft, banking systems, and legacy platforms.

Responsibilities - Design integration patterns connecting Salesforce, Azure microservices, MuleSoft, banking systems, and legacy platforms. - Define API-first and event-driven architectures, including interface contracts, messaging, error handling, and reconciliation strategies. - Design cloud-native solutions using AKS, Azure SQL, Azure Service Bus, and Azure Blob Storage. - Define authentication, authorization, and least-privilege security models aligned with GDPR and client security standards. - Define non-functional requirements covering availability, scalability, performance, RPO/RTO, disaster recovery, security, and observability. - Prepare and present solution designs, technical analyses, and architectural specifications to client stakeholders. - Govern architecture changes, lead design reviews, and drive cross-team technical decisions.

Requirements - Proven experience as an Integration Architect, Solution Architect, or similar role within an Azure ecosystem. - Strong hands-on knowledge of AKS, Azure SQL, Azure Service Bus, Blob Storage, Managed Identity, Key Vault, and Azure DevOps. - Strong experience designing enterprise integration solutions and distributed systems. - Understanding of API-first, REST, event-driven, asynchronous messaging, and contract-first integration patterns. - Experience integrating cloud solutions with Salesforce, banking systems, MuleSoft, or legacy platforms. - Knowledge of cloud security architecture, Secure-by-Design principles, and authentication and authorization concepts including OAuth2/OIDC, RBAC, SSO, MFA, and secrets management. - Experience defining non-functional requirements, disaster recovery strategies, monitoring, and operational readiness. - Strong architecture documentation, governance, stakeholder management, and communication skills. - Practical experience using AI-powered assistants such as Claude Code, GitHub Copilot, or Cursor to improve productivity or decision-making. - English and Italian language skills at B2/C1 level. - Work from the European Union region; a valid work permit is required.

Nice to have - Experience applying GenAI in a structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations. - Interest in emerging AI-driven practices such as agent-based workflows and AI-augmented development, with willingness to experiment beyond standard approaches.