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5 часов назад

Senior Cloud Platform Engineer (AI)

Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Cloud Platform Engineer (AI): Designing and developing cloud-native platforms and internal developer platforms (IDP) with an accent on scalability, security, and AI-assisted engineering workflows. Focus on automating infrastructure through IaC, optimizing Kubernetes environments, and integrating LLM-based tools to boost productivity.

Location: Remote (Poland)

Company

hirify.global is an IT consultancy firm that helps startups and large corporations deliver innovative technologies across various sectors including Telecom, Energy, and EdTech.

What you will do

  • Design and develop cloud-native platforms and Internal Developer Platforms (IDP) to provide scalable and secure solutions for engineering teams.
  • Build and maintain Infrastructure as Code (IaC) using Terraform, Pulumi, or CloudFormation.
  • Develop and automate CI/CD pipelines and deployments across AWS, Azure, or GCP.
  • Improve system observability, monitoring, alerting, and incident response capabilities.
  • Integrate AI tools and LLM-based workflows, including coding agents, to enhance engineering productivity and platform operations.
  • Establish standards and guidelines for the safe, secure, and observable usage of AI tools within the SDLC.

Requirements

  • Solid professional experience as a Cloud, DevOps, Platform, or SRE Engineer.
  • Hands-on experience with Kubernetes in production or near-production environments.
  • Proficiency with Infrastructure as Code, specifically Terraform.
  • Expertise in at least one major cloud platform: AWS, Azure, or GCP.
  • Strong scripting or programming skills in Python, Bash, PowerShell, or Go.
  • Must be based in Poland for B2B contract eligibility.

Nice to have

  • Practical experience using AI tools (e.g., GitHub Copilot, Cursor, Claude Code) for log analysis, script generation, or infrastructure review.
  • Understanding of risks associated with AI autonomy, data security, and hallucinations in production.
  • Experience creating guidelines for controlled AI usage in engineering teams.

Culture & Benefits

  • B2B contract engagement.
  • 100% remote work flexibility.
  • Opportunity to work on a unique and engaging project within the EdTech space.

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