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DevOps Engineer (AI)

Формат работы
remote (только Saudi_arabia)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
SA
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

DevOps Engineer (AI): Building and optimizing reliable, scalable, and automated infrastructure for an AI-native Customer Experience Intelligence platform with an accent on CI/CD pipelines, Kubernetes orchestration, and Infrastructure as Code. Focus on enhancing deployment speed, ensuring system reliability under load, and automating operational tasks.

Location: Remote (Riyadh, Saudi Arabia)

Company

AI-native Customer Experience Intelligence platform enabling enterprises to understand, engage, and retain customers at scale.

What you will do

  • Own and improve CI/CD pipelines to ensure efficient and reliable software delivery at scale.
  • Manage, deploy, and optimize containerized applications using Docker and Kubernetes.
  • Maintain and evolve cloud infrastructure using Terraform (IaC) to ensure high availability.
  • Implement monitoring, alerting, and logging solutions (e.g., Grafana) for proactive issue detection.
  • Automate repetitive operational tasks and provide infrastructure support to development teams.
  • Collaborate with engineers to optimize system performance, security, and release processes.

Requirements

  • 2-4 years of experience in DevOps or a related role.
  • Hands-on experience building CI/CD pipelines and managing Kubernetes environments.
  • Proficiency in Infrastructure as Code (Terraform, CloudFormation, or similar).
  • Experience with cloud platforms such as AWS or GCP.
  • Scripting proficiency in Python and Bash.
  • Experience with configuration management tools like Ansible, Puppet, or Chef.

Nice to have

  • Experience working in SaaS or AI-driven environments.
  • Experience with large-scale Kubernetes deployments.
  • Knowledge of advanced observability and monitoring practices.

Culture & Benefits

  • Operational culture obsessed with automation, reliability, and proactive problem solving.
  • Opportunity to shape the engineering strategy for a globally scaling AI platform.
  • Focus on reducing manual operational effort through high-level automation.

Hiring process

  • Screening interview with Talent Acquisition.
  • Technical interview with the DevOps Tech Lead.
  • Technical task via TestGorilla.
  • Final interview with the DevOps Tech Lead and Cloud Engineering Manager.

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