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11 дней назад

Senior DevOps Engineer / Platform Engineer (AI/ML)

Формат работы
onsite
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 / Platform Engineer (AI/ML): Building and operating enterprise Kubernetes and cloud-native platforms across AWS, GCP, and on-premises environments with an accent on Linux administration, CI/CD automation, Infrastructure as Code, and production reliability. Focus on supporting AI/ML workloads, GPU-enabled infrastructure, distributed applications, messaging platforms, and highly available production services.

Location: Dallas, Texas, United States — Headquarters

Company

hirify.global operates a global online vehicle auction platform connecting vehicle sellers with more than 750,000 buyers in over 190 countries.

What you will do

  • Design, build, automate, and maintain enterprise DevOps and platform engineering solutions.
  • Deploy and operate Kubernetes and containerized platforms across AWS, GCP, hybrid-cloud, and on-premises environments.
  • Develop Infrastructure as Code, automation, deployment frameworks, and CI/CD pipelines.
  • Administer Linux systems and support middleware, messaging, web servers, and Java application hosting environments.
  • Support highly available production systems through monitoring, observability, incident response, troubleshooting, and root cause analysis.
  • Operate AI/ML workloads on Kubernetes, including GPU-enabled training and inference infrastructure and MLOps workflows.

Requirements

  • 5+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, Systems Engineering, or Infrastructure Engineering.
  • Strong production experience with Linux, Kubernetes, Docker, Terraform, Ansible, CI/CD, and cloud-native architectures.
  • Experience supporting Spring Boot applications, Apache Kafka or enterprise messaging platforms, Apache Tomcat, and NGINX or Apache web servers.
  • Strong scripting and automation skills with Python, Bash, or similar languages.
  • Experience with monitoring, observability, alerting, incident management, networking, load balancing, reverse proxies, and SSL/TLS.
  • Must work from the Dallas, Texas headquarters in the United States.

Nice to have

  • Experience supporting AI/ML applications and GPU-based infrastructure in production.
  • Familiarity with MLOps and LLM- or RAG-based application deployment patterns.
  • Relevant cloud or Kubernetes certifications.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • 401(k) plan with company match and employee stock purchase plan.
  • Vacation, sick pay, and paid company holidays.
  • Life and AD&D insurance, employee assistance program, and employee discounts.
  • Work includes collaboration with Software Engineering, Architecture, Security, Product, and Infrastructure teams.

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