Azure Integration / Solution Architect

Role details

Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. 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