Azure Integration / Solution Architect
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What you'll do
- owning end-to-end solution architecture for Azure-based integration solutions
- designing integration patterns connecting Salesforce, Azure microservices, MuleSoft, banking systems, and legacy platforms
- defining API-first and event-driven architectures, including interface contracts, messaging, error handling, and reconciliation strategies
- designing cloud-native solutions using AKS, Azure SQL, Azure Service Bus, and Azure Blob Storage
- defining authentication, authorization, and least-privilege security models in line with GDPR and client security standards
- defining non-functional requirements covering availability, scalability, performance, RPO/RTO, disaster recovery, security, and observability
- preparing and presenting solution designs, technical analyses, and architectural specifications to client stakeholders
- governing architecture changes, leading design reviews, and driving cross-team technical decisions
What they're looking for
- have proven experience as an Integration Architect, Solution Architect, or similar role within an Azure ecosystem
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery
- have strong hands-on knowledge of Azure services, particularly AKS, Azure SQL, Azure Service Bus, Blob Storage, Managed Identity, Key Vault, and Azure DevOps
- have strong experience designing enterprise integration solutions and distributed systems
- understand API-first, REST, event-driven, asynchronous messaging, and contract-first integration patterns
- have experience integrating cloud solutions with Salesforce, banking systems, MuleSoft, or legacy platforms
- understand cloud security architecture and Secure-by-Design principles
- have knowledge of authentication and authorization concepts including OAuth2/OIDC, RBAC, SSO, MFA, and secrets management
- have experience defining non-functional requirements, disaster recovery strategies, monitoring, and operational readiness
- have strong architecture documentation and governance skills
- demonstrate excellent stakeholder management and communication skills
- can influence architectural direction, manage technical risks, and act as a trusted advisor to client stakeholders
Nice to have
- experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work
- interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more.
You will be:
- owning end-to-end solution architecture for Azure-based integration solutions,
- designing integration patterns connecting Salesforce, Azure microservices, MuleSoft, banking systems, and legacy platforms,
- defining API-first and event-driven architectures, including interface contracts, messaging, error handling, and reconciliation strategies,
- designing cloud-native solutions using AKS, Azure SQL, Azure Service Bus, and Azure Blob Storage,
- defining authentication, authorization, and least-privilege security models in line with GDPR and client security standards,
- defining non-functional requirements covering availability, scalability, performance, RPO/RTO, disaster recovery, security, and observability,
- preparing and presenting solution designs, technical analyses, and architectural specifications to client stakeholders,
- governing architecture changes, leading design reviews, and driving cross-team technical decisions.
Your profile:
- have proven experience as an Integration Architect, Solution Architect, or similar role within an Azure ecosystem,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
- have strong hands-on knowledge of Azure services, particularly AKS, Azure SQL, Azure Service Bus, Blob Storage, Managed Identity, Key Vault, and Azure DevOps,
- have strong experience designing enterprise integration solutions and distributed systems,
- understand API-first, REST, event-driven, asynchronous messaging, and contract-first integration patterns,
- have experience integrating cloud solutions with Salesforce, banking systems, MuleSoft, or legacy platforms,
- understand cloud security architecture and Secure-by-Design principles,
- have knowledge of authentication and authorization concepts including OAuth2/OIDC, RBAC, SSO, MFA, and secrets management,
- have experience defining non-functional requirements, disaster recovery strategies, monitoring, and operational readiness,
- have strong architecture documentation and governance skills,
- demonstrate excellent stakeholder management and communication skills,
- can influence architectural direction, manage technical risks, and act as a trusted advisor to client stakeholders,
- have English and Italian language skills at B2/C1 level.
Work from the European Union region and a work permit are required.
Nice to have:
- experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
- interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Technical Interview – Client Interview – Decision
Company
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