Azure Systems Architect (EPAM SISTEMOS, UAB)

Job description:
We are seeking an experienced Azure Systems Architect to lead the design, governance, and implementation of scalable, secure, cost-efficient, and AI-ready cloud solutions on Microsoft Azure.
In this role, you will define Azure hosting patterns, networking, security, governance, platform integration standards, container platform architecture, DevOps practices, and AI solution patterns. You will ensure that solutions align with enterprise architecture principles, cloud best practices, security requirements, and modern engineering delivery models.
You will work closely with Platform Engineering, DevOps, Security, Networking, Data, AI, and Product teams to establish a robust Azure foundation that enables scalable application delivery, operational excellence, and the adoption of AI-enabled engineering and business capabilities.
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
Define and maintain the enterprise Azure architecture, including landing zones, subscription strategy, networking, identity, governance, security, platform services, and workload hosting standards
Design and standardize reusable cloud patterns for application hosting, APIs, front-end applications, microservices, containerized workloads, serverless workloads, data integrations, and supporting platform services
Define architecture patterns for Azure Kubernetes Service, containerized workloads, ingress, service mesh, workload identity, secrets management, container security, scaling, observability, and operational readiness
Establish secure and scalable networking architectures, including hub-and-spoke connectivity, private networking, DNS, firewalls, private endpoints, API gateways, and workload integration patterns
Define and oversee implementation standards for Infrastructure as Code, preferably Terraform, including reusable modules, environment promotion, policy-as-code, and automated compliance controls
Drive DevOps and CI/CD architecture standards, including branching strategies, build and release pipelines, environment separation, quality gates, security scanning, automated testing, and deployment automation
Promote modern engineering practices using GitHub, GitHub Actions, Azure DevOps, GitHub Copilot, and AI-assisted software delivery, including AI-supported CI/CD, code review, documentation, testing, and platform automation
Produce robust, scalable, and secure cloud-native solutions leveraging Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI services
Design AI-enabled solutions based on modern patterns such as RAG, agentic workflows, multi-agent architectures, AI orchestration, tool/function calling, prompt management, evaluation, grounding, guardrails, and responsible AI controls
Define and oversee AI-enabled solutions for document processing, classification, validation, content generation, knowledge discovery, workflow automation, and enterprise search
Drive…