8 часов назад
Senior DevOps Engineer (AI/MLOps)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevOps Engineer (AI/MLOps): Building and operating DevOps platforms for AI, ML, agentic, and traditional applications with an accent on Kubernetes, cloud and on-premises infrastructure, CI/CD, and production reliability. Focus on deploying GPU-based workloads, operationalizing LLM and RAG systems, building custom AI agents, and implementing MLOps monitoring, rollback, and lifecycle management.
Location: Dallas, TX — 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 DevOps platforms for AI, ML, agentic, and traditional applications.
- Deploy and operate containerized applications with Docker and Kubernetes across cloud and on-premises environments.
- Develop Infrastructure as Code, CI/CD pipelines, deployment frameworks, monitoring workflows, and operational standards.
- Deploy, optimize, and support LLM-based, RAG, agentic AI, and machine learning workloads, including GPU-based training and inference infrastructure.
- Build and operate custom AI agents and LLM-powered tools, including AI coding agents tailored to internal repositories and engineering workflows.
- Provide production support, incident response, root cause analysis, release support, and reliability improvements for distributed systems.
Requirements
- 5+ years of experience in DevOps, platform engineering, SRE, or infrastructure engineering.
- Production support experience in enterprise environments.
- Hands-on experience with Kubernetes, Docker, Linux system administration, Python application operations, CI/CD automation, and infrastructure automation.
- Experience deploying and supporting AI, ML, or agentic applications in production and operating GPU-based infrastructure.
- Strong understanding of MLOps, including model deployment, versioning, monitoring, rollback strategies, and lifecycle management.
- Experience with production releases, maintenance activities, incident management, observability, and operational documentation.
Culture & Benefits
- Work with Product, Engineering, Data Science, AI, IT Security, Architecture, and business stakeholder teams.
- Focus on diversity, inclusion, collaboration, and continuous improvement.
- Participate in release activities, maintenance windows, upgrades, and production deployments, including extended-hours support when required.
- participates in the U.S. Department of Homeland Security E-Verify program for U.S. applicants and employees.
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