System Architect

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.

Responsibilities

• Design end-to-end architecture for cloud solutions on Microsoft Azure
• Define secure, scalable, and maintainable system designs based on business and technical requirements
• Select appropriate Azure services, integration approaches, and deployment models
• Ensure architecture meets non-functional requirements such as performance, reliability, security, and cost efficiency
• Support engineering teams during implementation and help resolve complex technical issues
• Contribute to cloud modernization, migration, and system integration initiatives
• Guide infrastructure and deployment approaches using Infrastructure as Code and CI/CD practices
• Contribute to the design of AI-enabled solutions on Azure, including intelligent automation, document processing, and LLM-based applications where relevant
• Promote architecture best practices and provide technical leadership across teams

Requirements

• 8+ years of experience in System Architecture / Solution Architecture
• Deep knowledge of Microsoft Azure, including compute, storage, networking, security, and integration services
• Proven experience designing scalable, secure, and reliable cloud-based systems
• Strong understanding of distributed systems, APIs, integration patterns, and enterprise architecture principles
• Hands-on experience with Infrastructure as Code and cloud automation tools such as Terraform, Bicep, or ARM templates
• Experience with CI/CD and modern DevOps practices
• Practical experience with AI and GenAI solutions on Azure, including Azure OpenAI, Azure AI Services, and Azure Machine Learning
• Familiarity with intelligent document processing, cognitive services, and LLM-based application architecture
• Competency in RAG patterns, vector databases/search, and AI orchestration approaches
• Strong communication skills and ability to work effectively with both engineering teams and stakeholders
• English level: B2+

Nice to have

• Microsoft certifications such as:
• AZ-305: Designing Microsoft Azure Infrastructure Solutions
• AZ-104: Microsoft Azure Administrator
• AI-102: Designing and Implementing an Azure AI Solution
• DP-100: Designing and Implementing a Data Science Solution on Azure
• Experience with data platforms, analytics, and MLOps
• Experience in consulting, outsourcing, or enterprise digital transformation projects
• Participation in technical communities, public speaking, hackathons, or innovation programs

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers

CORPORATE BENEFITS

• Extra leave days
• Referral bonuses

COMPENSATION PACKAGE

• Competitive compensation paid in USD
• Regular salary and performance reviews

MEDICAL & HEALTHCARE

• Private health insurance
• Well-being events

WORKING ENVIRONMENT

• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft’s Software Assurance Home Use Program (HUP)