11 дней назад
Senior DevOps Engineer / Platform Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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