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2 дня назад

Platform Engineer (Azure)

Тип работы
fulltime
Английский
b2
Страна
Poland/Romania/Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Platform Engineer (Azure): Designing and maintaining Azure-based integration platforms and cloud services with an accent on REST API integrations and MCP Server configuration. Focus on building scalable connectors, implementing observability via Azure Monitor, and automating platform operations using Python and TypeScript.

Location: Must be based in the European Union region and possess a valid work permit.

Company

hirify.global is a global AI-first digital transformation and engineering partner specializing in AI, Cloud, and Intelligent Automation.

What you will do

  • Configure and maintain Azure platform services for modern integration solutions.
  • Design and implement REST API integrations between internal and external systems.
  • Develop integration connectors and configure MCP Servers.
  • Implement monitoring, logging, and observability solutions using Azure Monitor and Application Insights.
  • Create operational documentation, including runbooks and service catalogues, aligned with ITIL practices.
  • Develop automation scripts and supporting tools using Python and/or TypeScript.

Requirements

  • Commercial experience in integration, platform, or cloud engineering.
  • Strong proficiency in Microsoft Azure platform services and Azure API Management.
  • Practical experience designing REST API integrations and configuring MCP Servers.
  • Good programming skills in Python and/or TypeScript.
  • Experience creating operational documentation aligned with ITIL practices.
  • Must be based in the EU region with a valid work permit.

Nice to have

  • Experience with enterprise integration platforms and cloud-native architecture.
  • Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code.
  • Experience using AI-powered assistants (e.g., Claude Code, GitHub Copilot, Cursor) and GenAI workflows in the SDLC.
  • Interest in agent-based workflows and AI-augmented development.

Hiring process

  • CV review and HR call.
  • Technical interview.
  • Client interview.

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