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DevOps Engineer (Azure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Poland

Описание вакансии

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TL;DR

DevOps Engineer (Azure): Architecting, implementing, and managing scalable cloud infrastructure solutions on Microsoft Azure with an accent on CI/CD pipeline optimization, automation, and security. Focus on designing robust cloud environments, troubleshooting complex system issues, and enhancing automation and observability for internal platforms and customer-facing applications.

Location: Hybrid in Poland (Wrocław, Opole, Katowice, Warszawa, Gdańsk, Lublin, Poznań, Kraków)

Company

hirify.global is a global leader in technology consulting and digital transformation, partnering with companies worldwide to build sustainable and inclusive futures.

What you will do

  • Design, deploy, and maintain cloud infrastructure solutions on Microsoft Azure.
  • Implement and optimize CI/CD pipelines for secure software delivery.
  • Automate infrastructure provisioning and management using IaC tools like Terraform, ARM templates, and Bicep.
  • Monitor system health, performance, and security with Azure-native and third-party tools.
  • Collaborate with software engineers, SREs, and QA teams to enable scalable development workflows.
  • Troubleshoot and resolve infrastructure issues ensuring high availability.

Requirements

  • Location: Must be based in Poland or able to work hybrid from specified cities.
  • English: B2 level or higher required.
  • Strong experience with Microsoft Azure cloud environments and DevOps principles.
  • Proficiency in Infrastructure-as-Code frameworks and container orchestration (Docker, Kubernetes, AKS).
  • Knowledge of cloud networking, monitoring, logging, and security best practices.

Nice to have

  • Experience with multi-cloud or hybrid cloud architectures (AWS, GCP).
  • Familiarity with configuration management tools and automation scripting languages.
  • Exposure to monitoring platforms like Prometheus, Grafana, ELK, Azure Monitor.
  • Understanding of serverless architectures and compliance frameworks.
  • Experience supporting data engineering or AI/ML workloads in cloud environments.

Culture & Benefits

  • Private medical care with additional packages and life insurance options.
  • Hybrid working model with ergonomic home office setup after onboarding.
  • Buddy programs for early support and learning alongside experts.
  • Access to over 70 training tracks and certification opportunities including GenAI and project management.
  • Free access to language learning and professional development platforms.