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2 дня назад

Senior DevOps Engineer (Terraform)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 DevOps Engineer (Terraform) (Cloud Infrastructure/AI): Designing and managing Terraform-based cloud infrastructure, reusable IaC modules, CI/CD pipelines, and Docker and Kubernetes environments with an accent on AWS, Azure, GCP, automation, and operational reliability. Focus on architecting scalable cloud environments, implementing monitoring and security, troubleshooting production systems, and supporting AI-enabled cloud initiatives.

Location: Remote, United States

Company

Technology consulting and engineering company that builds digital platforms and intelligent digital experiences for leading brands across industries.

What you will do

  • Design, build, and manage cloud infrastructure with Terraform.
  • Develop reusable Infrastructure as Code modules and templates.
  • Architect and support environments across AWS, Azure, or Google Cloud Platform.
  • Build and maintain CI/CD pipelines and automate application and infrastructure deployments.
  • Implement and support Docker, Kubernetes, monitoring, logging, and alerting solutions.
  • Troubleshoot production infrastructure, provide on-call support, and collaborate with development, QA, and architecture teams.

Requirements

  • 5+ years of experience in DevOps, cloud engineering, or infrastructure engineering.
  • Strong hands-on experience with Terraform and Infrastructure as Code.
  • Experience with AWS, Azure, or Google Cloud Platform, plus Docker and Kubernetes.
  • Experience building CI/CD pipelines with Jenkins, GitLab CI, CircleCI, or similar tools.
  • Proficiency in Python, Bash, or similar scripting languages, and experience with Ansible, Puppet, or Chef.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience; familiarity with machine learning, large language models, and generative AI.

Culture & Benefits

  • Full-time employment with competitive compensation, performance bonuses, a share plan, and recognition awards.
  • Career coaching, global career opportunities, technical and management development programs, training, certifications, and learning platforms.
  • Complex projects, internal technology communities, workshops, conferences, and knowledge-sharing sessions.
  • Flexible working hours, employee assistance, wellbeing programs, and access to wellbeing applications.
  • For US full-time roles: medical, dental, vision, disability, life insurance, flexible spending accounts, health savings account, and a 401(k) plan with employer match.

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