System Architect

EPAM Systems; Turkey; On-site; TRY 5,994,000 - 8,991,000; Full time

Benefits offered by this job

Private health insurance

Certification and professional dev.支持

English courses by certified teachers

Mentoring programs and leadership dev.

Job summary

EPAM Systems Inc. is seeking a System Architect with strong Microsoft Azure expertise to design secure, scalable cloud solutions and guide engineering teams through delivery.

You will shape end-to-end architecture, select appropriate services, and ensure non-functional requirements are met. You will drive IaC and CI/CD practices, contribute to AI-enabled Azure solutions including OpenAI and ML services, and promote best practices across multiple teams while collaborating with stakeholders

Qualifications

• 8+ years of experience in System/Solution Architecture
• Deep knowledge of Microsoft Azure across compute, storage, networking, security
• Design scalable, secure cloud-based systems
• IaC and cloud automation tools like Terraform, Bicep, ARM templates
• CI/CD and modern DevOps practices
• AI/GenAI on Azure including Azure OpenAI, Azure AI Services and ML
• Familiarity with intelligent document processing, LLM-based architectures

Responsibilities

• Design end-to-end cloud solutions on Microsoft Azure
• Define secure, scalable system designs based on requirements
• Select Azure services, integration approaches, and deployment models
• Support engineering teams during delivery and resolve technical issues
• Guide IaC and CI/CD deployment approaches
• Contribute to AI-enabled Azure solutions including LLMs
• Promote architecture best practices across teams

Skills

Azure expertise

Distributed systems

APIs & integration patterns

CI/CD & DevOps

Infrastructure as Code

Tools

Terraform

Bicep

ARM templates

Job description

We are looking for a System Architect with strong expertise in Microsoft Azure to design and guide the implementation of secure, scalable, and reliable cloud solutions. In this role, you will define system architecture, make key technical decisions, and support engineering teams throughout the delivery lifecycle.The ideal candidate has solid experience in cloud architecture, distributed systems, integrations, and modern engineering practices. Experience with AI-powered solutions on Azure is also important, especially in designing practical, business-oriented solutions using modern AI and GenAI capabilities.ResponsibilitiesDesign end-to-end architecture for cloud solutions on Microsoft AzureDefine secure, scalable, and maintainable system designs based on business and technical requirementsSelect appropriate Azure services, integration approaches, and deployment modelsEnsure architecture meets non-functional requirements such as performance, reliability, security, and cost efficiencySupport engineering teams during implementation and help resolve complex technical issuesContribute to cloud modernization, migration, and system integration initiativesGuide infrastructure and deployment approaches using Infrastructure as Code and CI/CD practicesContribute to the design of AI-enabled solutions on Azure, including intelligent automation, document processing, and LLM-based applications where relevantPromote architecture best practices and provide technical leadership across teamsRequirements8+ years of experience in System Architecture / Solution ArchitectureDeep knowledge of Microsoft Azure, including compute, storage, networking, security, and integration servicesProven experience designing scalable, secure, and reliable cloud-based systemsStrong understanding of distributed systems, APIs, integration patterns, and enterprise architecture principlesHands-on experience with Infrastructure as Code and cloud automation tools such as Terraform, Bicep, or ARM templatesExperience with CI/CD and modern DevOps practicesPractical experience with AI and GenAI solutions on Azure, including Azure OpenAI, Azure AI Services, and Azure Machine LearningFamiliarity with intelligent document processing, cognitive services, and LLM-based application architectureCompetency in RAG patterns, vector databases/search, and AI orchestration approachesStrong communication skills and ability to work effectively with both engineering teams and stakeholdersEnglish level: B2+Nice to haveMicrosoft certifications such as:AZ-305: Designing Microsoft Azure Infrastructure SolutionsAZ-104: Microsoft Azure AdministratorAI-102: Designing and Implementing an Azure AI SolutionDP-100: Designing and Implementing a Data Science Solution on AzureExperience with data platforms, analytics, and MLOpsExperience in consulting, outsourcing, or enterprise digital transformation projectsParticipation in technical communities, public speaking, hackathons, or innovation programsWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is 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, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.