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Solution Architect — Digital Workplace

Summary

Design and implement Azure-based cloud solutions with DevSecOps, AI integration, and infrastructure automation to drive enterprise innovation and operational excellence.

Company Overview

Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Since 2010, we serve global clients across IoT, blockchain, fintech, and ecommerce, delivering quality products through passionate collaboration and cutting-edge technology.

Job Summary

Lead engineering efforts to design, implement, and optimize Azure-based cloud solutions with a focus on DevSecOps, AI integration, and infrastructure automation to drive enterprise innovation and operational excellence.

Responsibilities

  • Design and implement scalable cloud solutions using Microsoft Azure platform services to meet enterprise requirements
  • Develop and maintain infrastructure-as-code using Azure Bicep or Terraform to automate deployments and ensure consistency
  • Build and manage CI/CD pipelines with Azure DevOps or GitHub to enable continuous integration and delivery of software
  • Apply DevSecOps practices to embed security throughout the software development lifecycle and infrastructure management
  • Integrate AI/ML platform services on Azure to enhance application capabilities and support AI-assisted development tools
  • Manage enterprise identity integration using Active Directory to ensure secure and seamless access control
  • Produce clear, comprehensive documentation and communicate technical concepts effectively to stakeholders

Preferred competencies and qualifications

  • Experience with AI application platforms such as Azure OpenAI, Microsoft Fabric, Synapse, and AI governance frameworks
  • Ability to build developer portals, internal platforms, platform APIs, self-service workflows, or engineering templates
  • Familiarity with public sector cloud environments, government security standards, or regulated enterprise settings
  • Knowledge of observability, site reliability engineering (SRE) practices, incident response automation, and tools like Microsoft Sentinel
  • Understanding of FinOps principles, cloud cost optimization, total cost of ownership (TCO) modeling, and cost accountability
  • Exposure to engineering productivity tools including Jira, Confluence, GitHub, Azure DevOps, ShipHATS, and Copilot

See also

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