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.