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Principal Cloud Engineer (Azure)

Формат работы
remote (Global)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Cloud Engineer (Azure): Designing and scaling secure, production-ready cloud-native and AI-driven platforms with an accent on Azure architecture, IaC, and MLOps. Focus on productionizing ML/LLM solutions, building reusable Terraform modules, and leading technical strategy for cloud infrastructure.

Location: Remote (optional) or Hybrid

Company

A global technical consultancy with over 500 employees specializing in custom software development, AI, and blockchain solutions.

What you will do

  • Design and lead Azure cloud architectures covering networking, security, governance, IaaS, PaaS, and serverless solutions.
  • Own the infrastructure for AI-powered platforms, including RAG, document ingestion, vector search, and LLM integrations.
  • Develop reusable Infrastructure as Code (Terraform) and build robust CI/CD pipelines following DevSecOps best practices.
  • Lead the mentoring framework and shared knowledge strategy within the engineering chapter.
  • Collaborate with AI and data teams to productionize ML/LLM solutions using an MLOps mindset.
  • Manage technical proposals and RFP responses, while identifying emerging cloud trends and services.

Requirements

  • 8+ years of hands-on experience in Cloud or Platform Engineering roles.
  • Expert-level experience with Microsoft Azure in real production environments.
  • Proficiency in Infrastructure as Code (Terraform) and CI/CD practices via Azure DevOps.
  • Proven experience designing and implementing IaaS, PaaS, and cloud-native architectures.
  • Ability to engage with clients and lead technical presales, including demos and proposal writing.
  • Fluent English (mandatory) for daily collaboration with international teams and clients.

Nice to have

  • Experience with hybrid or multi-cloud environments (AWS / GCP).
  • Knowledge of Kubernetes and container orchestration.
  • Familiarity with MLOps practices and software development (Python, Go, .NET).
  • Experience with observability tools like Azure Monitor, Prometheus, or Grafana.
  • Proficiency with GitHub and GitHub Actions.

Culture & Benefits

  • Flexible 35-hour work week and optional fully remote work arrangement.
  • Free health insurance and individual budget for training or equipment.
  • Free Microsoft certifications and English language lessons.
  • Annual team-building event (Plain Camp) and a birthday day off.
  • Monthly allowance for home electricity and internet expenses.
  • Flexible compensation options for restaurants, transport, and childcare.

Hiring process

  • Initial phone screen.
  • Two interviews with the technical team.

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