Senior AI DevOps Engineer Fully Remote - US

Senior AI DevOps Engineer

Full Time • Fully Remote - US
Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development
Role: Sr. AI DevOps Engineer
Location: Remote (Must reside in the US in CST or EST)

Why Join Us?
Be at the forefront of AI and infrastructure enablement. In this role, you’ll help build a next-gen AI-driven toolkit that transforms how technical support teams operate—streamlining onboarding, reducing dependency on traditional documentation, and enabling faster troubleshooting at scale.

Top Benefits:
  • 100% remote flexibility
  • Long-term stability in a cutting-edge contract role
  • Work at the intersection of AI, virtualization, and enterprise-scale automation
  • Contribute to tools used by global technical support teams
What You’ll Build:
Design and implement an AI-powered toolkit integrated with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), built to support hybrid IT environments. This comprehensive toolkit will empower technical support teams across areas, including:
  • Kubernetes Fundamentals: Pods, deployments, namespaces, eviction, and network policies
  • Virtualization: OpenShift Virtualization, KVM, and VM orchestration
  • Mixed Workload Management: Best practices for managing VMs + containers
  • Resource Optimization: Memory, CPU, and storage allocation across workloads
  • Networking & Integration: Kubernetes networking, UDNs, F5 SPK
  • Persistent Storage & Fault Tolerance: Storage tuning, replication, and HA strategies
  • Live Migration: Seamless VM/database migration with uptime focus
  • Automation: Provisioning, scaling, orchestration in Webscale environments
  • AI/LLM Tooling: Contextual retrieval, chatbot pipelines, and automation flows
  • Troubleshooting & Updates: Real-time log analysis and system patching
  • Custom Configurations: Tailored networking/storage for enterprise deployments
  • High Availability: Resilient design for fault-tolerant multi-platform systems
Ideal Candidate Profile:
  • Deep experience in Kubernetes, OpenShift 4.18, and virtualization stacks
  • Proficiency in designing AI/LLM-based tools, particularly RAG frameworks
  • Strong understanding of enablement systems and documentation standards
  • Self-motivated, autonomous, and comfortable with remote contract work
  • Capable of translating complex systems into AI-powered assistive tools
Work Environment:
  • Engagement Type: Long-term contract with consistent deliverables
  • Impact Focus: Enable rapid onboarding and support scalability for global teams

This is a remote position.

Compensation: $65.00 - $70.00 per hour




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