Job Description
Job Description
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, youll help build a next-gen AI-driven toolkit that transforms how technical support teams operatestreamlining onboarding, reducing dependency on traditional documentation, and enabling faster troubleshooting at scale.
Top Benefits :
100% remote flexibilityLong-term stability in a cutting-edge contract roleWork at the intersection of AI, virtualization, and enterprise-scale automationContribute to tools used by global technical support teamsWhat Youll 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 policiesVirtualization : OpenShift Virtualization, KVM, and VM orchestrationMixed Workload Management : Best practices for managing VMs + containersResource Optimization : Memory, CPU, and storage allocation across workloadsNetworking & Integration : Kubernetes networking, UDNs, F5 SPKPersistent Storage & Fault Tolerance : Storage tuning, replication, and HA strategiesLive Migration : Seamless VM / database migration with uptime focusAutomation : Provisioning, scaling, orchestration in Webscale environmentsAI / LLM Tooling : Contextual retrieval, chatbot pipelines, and automation flowsTroubleshooting & Updates : Real-time log analysis and system patchingCustom Configurations : Tailored networking / storage for enterprise deploymentsHigh Availability : Resilient design for fault-tolerant multi-platform systemsIdeal Candidate Profile :
Deep experience in Kubernetes, OpenShift 4.18, and virtualization stacksProficiency in designing AI / LLM-based tools, particularly RAG frameworksStrong understanding of enablement systems and documentation standardsSelf-motivated, autonomous, and comfortable with remote contract workCapable of translating complex systems into AI-powered assistive toolsWork Environment :
Engagement Type : Long-term contract with consistent deliverablesImpact Focus : Enable rapid onboarding and support scalability for global teamsThis is a remote position.