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16 часов назад

Lead DevOps Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
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
Lead DevOps Engineer (AWS/AI): Defining and governing enterprise DevOps, Platform Engineering, and Observability standards while building reliable CI/CD pipelines and managing AWS infrastructure with an accent on Terraform, Kubernetes, Docker, and Grafana. Focus on troubleshooting production systems, improving reliability and cost efficiency, and applying AI-assisted tooling to infrastructure automation, incident investigation, and operational workflows.

Location: Columbus, OH — onsite. U.S. Citizens, Green Card Holders, and EAD Holders are encouraged to apply; new H-1B visa petitions cannot be sponsored.

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Define, govern, and drive adoption of enterprise-wide DevOps, Platform Engineering, and Observability standards.
  • Build, maintain, and optimize CI/CD pipelines for reliable application deployments.
  • Manage and improve AWS infrastructure across ECS, EKS, and EC2, including containerized workloads with Docker and Kubernetes.
  • Develop and maintain Infrastructure as Code with Terraform, and document infrastructure, processes, and runbooks.
  • Monitor system health, troubleshoot staging and production issues, and maintain logging, alerting, and incident response processes.
  • Improve reliability, performance, and AWS cost efficiency, including through responsible AI-assisted tooling for Terraform modules and Kubernetes/ECS manifests.

Requirements

  • 15+ years of experience in DevOps, SRE, or related roles.
  • Hands-on experience with AWS services, particularly ECS, EKS, and EC2.
  • Experience writing and maintaining Infrastructure as Code using Terraform.
  • Experience with monitoring and observability tools, especially Grafana.
  • Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Experience with containerization using Docker; working knowledge of Linux systems and networking fundamentals.
  • Scripting experience with Bash, Python, or similar technologies.
  • Ability to independently handle daily infrastructure and deployment tasks, debug application and infrastructure issues, take ownership of services, and escalate complex architectural decisions when appropriate.
  • Ability to proactively identify reliability, performance, and cost improvements, including applying AI to DevOps practices such as infrastructure automation, CI/CD optimization, incident investigation, observability, and operational efficiency.

Culture & Benefits

  • Onsite work in Columbus, Ohio.
  • Opportunity to work across cloud, AI, data, and enterprise technology solutions.
  • Career growth opportunity within an established technology consulting and software development organization.

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