Skills

DevOps Kubernetes Networking Virtualization Large Language Models OpenShift

Job Specifications

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 support 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

Remote-first: Flexibility to work from any location
Engagement Type: Long-term contract with consistent deliverables
Impact Focus: Enable rapid onboarding and support scalability for global teams

Ready to lead innovation at the crossroads of AI and cloud infrastructure? Apply now and help build the toolkit that’s redefining support operations in hybrid environments.

About the Company

The AES Group is a premier technology staffing and consulting company that brings together businesses and talent to deliver the most innovative technology solutions that create the most positive impact to society. In the last 20 years, we have developed innovative best-in-class technology solutions to the world's forward-thinking companies on four key service areas: - Customer Experience: engaging customers with differentiating digital experiences to sustain business relevance - Employee Experience: enabling employees to lea... Know more