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We’re looking for an Azure Systems Architect to join our team and lead the design, governance and implementation of scalable, secure and AI-ready cloud solutions on Microsoft Azure. In this role, you will define enterprise-grade architectures, covering infrastructure, networking, security, container platforms, DevOps practices and AI integration. You will collaborate with engineering, security and product teams to establish a robust Azure foundation that enables cloud transformation, operational excellence and the adoption of AI-enabled business capabilities.
Responsibilities
- Define and maintain enterprise Azure platform architecture, including landing zones, subscriptions, networking, identity, governance and workload hosting standards
- Design reusable cloud patterns for APIs, microservices, containerized workloads and serverless solutions
- Establish secure, scalable networking architectures, including hub-and-spoke topologies, private connectivity and API gateways
- Define Infrastructure as Code standards using Terraform and lead environment automation initiatives
- Drive CI/CD and DevOps standards, including security scanning and automated deployments
- Ensure observability, compliance and cost optimization practices using Azure-native tools
- Advise on integrating AI services such as Azure AI, Azure OpenAI and related components into application architectures
- Provide architectural reviews, enforce governance controls and guide project delivery toward target-state architecture
- Collaborate with product, engineering and security teams to deliver solutions aligned with enterprise principles
Requirements
- Proven experience designing and implementing enterprise Azure architectures
- Strong expertise in Azure networking, identity, security and landing zones
- Hands-on experience with AKS, container orchestration and microservices
- Solid understanding of hybrid infrastructure, connectivity and integration patterns
- Skilled in Infrastructure as Code (Terraform preferred) and CI/CD automation
- Knowledge of DevOps practices, GitHub/Azure DevOps and automated pipelines
- Experience implementing observability solutions with Azure Monitor and Application Insights
- Understanding of cloud security, RBAC, managed identities and compliance frameworks
- Exposure to AI/Generative AI services on Azure and ability to design AI-enabled solutions
- Effective communication and collaboration skills for cross-functional environments
Nice to have
- Azure certifications (e.g., Solutions Architect Expert)
- Kubernetes certifications or production-level experience
- Familiarity with AI orchestration frameworks such as Semantic Kernel or LangChain
- Experience with platform engineering, golden paths and self-service cloud setups
- Knowledge of FinOps practices and cost optimization strategies