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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности понятны и стек современный, но требование от 15 лет опыта, контрактный формат с работой в офисе и отсутствие зарплаты затрудняют оценку условий.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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