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2 дня назад

AI DevOps Engineer

150 000 - 190 000$
Формат работы
hybrid
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
AI DevOps Engineer (AI/Cloud/Kubernetes): Building and operating enterprise DevOps platforms across on-premises infrastructure and Azure/GCP cloud environments with an accent on CI/CD automation, Infrastructure as Code, and AI/ML platform support. Focus on deploying generative AI and LLM infrastructure, managing Kubernetes-based hybrid environments, and improving reliability, security, observability, and disaster recovery.

Location: Hybrid in Chicago, IL or New York City, NY, United States

Salary: $150,000–$190,000 USD per year, plus bonus eligibility.

Company

hirify.global provides technology, AI, predictive analytics, and data solutions for consumer-packaged goods companies, manufacturers, and retailers through its Liquid Data platform.

What you will do

  • Design, build, maintain, and support enterprise DevOps and platform engineering environments across on-premises data centers and hyperscaler clouds.
  • Develop CI/CD pipelines with Jenkins, Azure DevOps, or similar tools, and automate provisioning, configuration management, patching, deployments, and operational workflows using Infrastructure as Code.
  • Deploy and operate AI/ML infrastructure for model training, inference, experimentation, generative AI, LLMs, AI copilots, vector databases, and orchestration frameworks.
  • Design and support hybrid cloud and container platforms across Azure, GCP, Kubernetes, OpenShift, AKS, EKS, and GKE.
  • Implement monitoring, logging, observability, security, compliance, disaster recovery, and business continuity practices.
  • Provide production support, incident management, root cause analysis, runbook development, capacity planning, and on-call coverage while applying SRE principles.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • 7+ years of experience in DevOps, infrastructure engineering, cloud engineering, or platform operations.
  • Strong experience supporting both on-premises infrastructure and cloud-based environments.
  • Hands-on Jenkins administration, pipeline development, automation, integration, and experience with CI/CD platforms such as Jenkins and Azure DevOps.
  • Experience implementing Infrastructure as Code with Ansible.
  • Strong Linux administration skills and hands-on experience with Kubernetes, Docker, and container orchestration platforms.
  • Experience supporting Azure or GCP environments.
  • Strong scripting and automation skills with PowerShell, Python, Bash, or similar languages.
  • Experience with enterprise monitoring tools such as Grafana, Prometheus, or Azure Monitor, plus strong troubleshooting, problem-solving, and communication skills.

Nice to have

  • Multi-cloud experience across Azure and GCP.
  • Azure DevOps Engineer Expert, Azure Solutions Architect, or related certifications.
  • Experience managing large-scale hybrid cloud transformations and knowledge of platform engineering and self-service infrastructure models.
  • Experience supporting retail, distribution, supply chain, or large-scale customer-facing platforms.

Culture & Benefits

  • Flexible and accommodating work environment focused on continuous learning, feedback, inclusivity, and accountability.
  • Hybrid work arrangement in Chicago or New York City.
  • Paid time off, medical, dental, and vision insurance, and 401(k) for eligible employees.
  • Employment may be conditional on a background check; the current employer will not be contacted without permission.
  • The role is subject to AI-assisted resume screening and is expected to remain open for approximately 30 days, though it may close earlier.

Hiring process

  • Apply through the hirify.global careers website or, for internal candidates, the Intranet site.
  • Applications are assessed with AI assistance to identify resume details aligned with the job requirements.

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