Site Reliability Engineer –AI & Data Platforms; LLM & Kubernetes

Position: Site Reliability Engineer –AI & Data Platforms (LLM & Kubernetes)
Job Title:

AI Support Engineer
Company:  Power Cozmo ( India & Jordan)

Location:

Amman, Jordan.
Job Type :
Full-Time | On-site

Candidate must be willing to travel to Amman, Jordan within 2-3 days upon selection.

Experience 5+ Years (Mandatory)

Job Summary:

We are looking for a hands-on Support Engineer who will act as a Kubernetes maintainer and support engineer for our production AI and data systems. The role requires strong experience in data scraping / crawling systems. Kubernetes operations, Python-based automation, Github workflows and local LLM infrastructure. You will support mission-critical environments involving LLM workloads, data scraping pipelines, and containerized microservices.

Key Responsibilities

Kubernetes & Infrastructure Support

• Deploy, manage, and support production-grade Kubernetes clusters

• Troubleshoot pod, node, networking, and storage issues in live environments

• Manage Helm charts, Config Maps, Secrets, and Kubernetes manifests

• Manage infrastructure and application deployments via Git repositories

Local LLM & AI Platform Support

• Support local LLM deployments (Ollama, Mistral, LLaVA, Qwen, etc.)

• Troubleshoot inference performance, memory issues, and model loading failures

• Support AI services exposed via REST APIs or internal microservices

Data Scraping & Crawling

• Support and maintain web scraping and crawling pipelines

• Debug data extraction failures, rate limits, and anti-bot challenges

• Ensure data quality, consistency, and pipeline reliability

• Assist in scheduling and monitoring crawlers (cron jobs)

System Monitoring & Incident Support

• Perform root cause analysis for production incidents

• Monitor logs, metrics, and alerts using tools like Prometheus, Grafana
• Maintain uptime and SLAs for AI and data platforms

• Participate in on-call or escalation support rotations

Automation

• Maintain documentation for support procedures and known issues

• Collaborate with engineering teams for fixes and optimizations

Required

Skills & Qualifications (Mandatory)

• 5+ years experience as a Data / AI Support Engineer

• Hands-on experience with Docker and containerized workloads

• Experience supporting local LLM models or AI inference systems

• Practical knowledge of Linux system administration

• Experience with data scraping or web crawling systems

• Basic scripting skills (Python, Bash)

Preferred / Good to Have

• Familiarity with Neo4j, Kafka, or data pipelines

• Experience with Ollama, Hugging Face models, or similar LLM runtimes

• Knowledge of cloud-native monitoring tools

• Understanding of networking concepts (DNS, ingress, load balancers)

What We Offer

• Opportunity to work on cutting-edge AI and LLM infrastructure over cloud and local AI server

• Fast-paced startup or scale-up environment
Career growth in AI