Senior DevOps Engineer
Copart, Inc.2 hours ago
Dallas, TX, USASenior
Responsibilities
- Design, build, automate, and maintain DevOps platforms for AI, ML, agentic, and traditional applications.
- Deploy and operate applications using Docker and Kubernetes across cloud and on-premises environments.
- Develop infrastructure-as-code solutions, CI/CD pipelines, deployment frameworks, and operational standards.
- Deploy, monitor, optimize, and manage AI/ML workloads, LLM-based applications, RAG systems, agentic platforms, and GPU infrastructure.
- Implement MLOps practices for model deployment, versioning, monitoring, rollback, and lifecycle management.
- Build and operate custom AI coding agents, internal AI tools, and LLM-powered engineering workflows.
- Provide production support, incident response, root cause analysis, monitoring, and reliability improvements.
- Collaborate with Product, Engineering, Data Science, AI, IT Security, and business stakeholders on requirements, solution design, and infrastructure planning.
Requirements
- At least 5 years of experience in DevOps, platform engineering, site reliability engineering, or infrastructure engineering roles.
- Proven experience supporting production applications in enterprise environments.
- Hands-on experience with Kubernetes, Docker, Linux system administration, Python application deployment, CI/CD automation, infrastructure automation, and configuration management.
- Experience deploying and supporting AI, ML, or agentic applications in production.
- Experience operating GPU-based infrastructure for AI workloads and applying MLOps practices.
- Experience with AI model deployment, monitoring, operational support, production releases, maintenance activities, and incident management.
Benefits
- Production support may include extended hours when required, release activities, maintenance windows, upgrades, and deployments.
- Copart emphasizes diversity, inclusion, collaboration, and opportunities for employees to grow and contribute meaningfully.