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7 дней назад

Platform Engineer, SDO (Azure)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Platform Engineer, SDO (Azure): Building and operating Azure cloud infrastructure, infrastructure-as-code, and CI/CD systems that support software development, testing, and production environments with an accent on reliability, scalability, security, and automation. Focus on managing containerised workloads, implementing observability, troubleshooting infrastructure incidents, and reducing manual operations across deployment workflows.

Location: London, United Kingdom

Company

hirify.global develops embodied AI software and foundation models for automated driving, helping vehicles perceive, understand, and navigate complex environments.

What you will do

  • Build, maintain, and improve Azure-based cloud infrastructure for development, testing, and production environments.
  • Implement infrastructure as code with Terraform and Ansible to provide consistent and repeatable provisioning.
  • Support and improve CI/CD pipelines and cloud-based deployment systems.
  • Manage containerised workloads and orchestration platforms such as Docker and Kubernetes.
  • Implement logging, metrics, alerting, monitoring, and observability capabilities.
  • Participate in incident response, root cause analysis, security improvements, and automation of infrastructure workflows.

Requirements

  • 2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles.
  • Hands-on experience with at least one cloud platform: Azure, AWS, or GCP.
  • Experience with infrastructure-as-code tools such as Terraform or Ansible.
  • Familiarity with CI/CD systems and cloud-based deployment pipelines.
  • Basic understanding of networking, cloud architecture, and system reliability.
  • Strong troubleshooting and problem-solving skills.

Nice to have

  • Experience with Docker, Kubernetes, monitoring and observability tools such as Prometheus, Grafana, or ELK.
  • Experience with Linux systems and shell scripting.
  • Programming or scripting experience with Python, Bash, Go, or similar technologies.
  • Understanding of cloud security best practices and exposure to large-scale or distributed systems.

Culture & Benefits

  • Inclusive interview experience with accommodations and adjustments available on request.
  • Diverse, fair, and respectful work environment.
  • Opportunity to work on embodied AI and self-driving technology.

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