Cloud and Platform Architect – Azure, AI

• Partner with Product Managers, Business Analysts and stakeholders to clarify outcomes, shape product vision and translate requirements into pragmatic architecture options
• Produce architecture blueprints, high-level and low-level designs, technical decision records and implementation guidance for platform products
• Design secure, scalable and reusable services, APIs, datastore patterns, integration approaches, UX-facing capabilities and common components
• Work closely with engineering teams on implementation through hands-on prototyping, code review, pair design, design assurance and technical debt management
• Select technologies, promote reuse, define development standards and help create common frameworks or accelerators
• Participate in planning and estimation, maintain the architecture backlog and make trade-offs across cost, risk, quality, security and time-to-market
• Coordinate with architects, security, platform and engineering teams to align designs with enterprise standards and delivery constraints
• Apply AI-assisted and agentic engineering practices to improve delivery, quality, documentation, testing and developer productivity

• Strong architecture experience across cloud-native application, integration, data and security domains
• Hands-on software engineering capability in at least one modern language such as C#, Java, JavaScript/TypeScript or Python
• Confidence reading and reviewing production code
• Practical experience using agentic AI coding tools and AI-assisted delivery workflows, such as GitHub Copilot, Cursor, Windsurf, Claude Code, OpenAI Codex-style agents or similar
• Practical Azure experience, including compute, storage, networking, security, Azure Policy, Entra ID, RBAC, Key Vault and tenant-aware identity patterns
• Experience with APIs, microservices, containers and Kubernetes, preferably AKS
• Experience with CI/CD and DevSecOps practices using Azure DevOps and/or GitHub
• Ability to design access management, authentication and authorisation patterns for users, services and platform-to-platform integrations
• Good understanding of compliance, in-application security, secure-by-design patterns and enterprise technology standards
• Experience designing for reusability, maintainability, observability, cost optimisation and technical debt control
• Clear communication style and ability to work with senior stakeholders, product teams, engineers and architects across distributed teams
• Advanced English
• Desirable: experience with internal developer platforms, reusable engineering assets or platform marketplace models
• Desirable: experience with generative AI solution patterns, retrieval-augmented generation, prompt evaluation, automated testing and AI governance guardrails
• Desirable: familiarity with enterprise UX patterns, workflow automation and low-code/no-code product capabilities
• Desirable: Azure Solutions Architect Expert, Azure Security Engineer, TOGAF, SAFe or comparable architecture/security certification

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