Azure Systems Architect

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 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

• 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

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