Description:
ð Platform Engineer (AI & Cloud Focus)We’re looking for a Platform Engineer with strong Cloud, DevOps, and AI platform experience to design, build, and operate scalable AI-enabled cloud environments.ð Platform Engineer (AI & Cloud Focus)
We’re looking for a Platform Engineer with strong Cloud, DevOps, and AI platform experience to design, build, and operate scalable AI-enabled cloud environments.ð§ Essential Skills
- Cloud: Azure (AZ-104)
- Containers: Kubernetes (CKAD), Helm, Kustomize
- IaC: Terraform / OpenTofu
- Programming: Python
- Databases: PostgreSQL (SQL)
- OS: Advanced Linux
- CI/CD: GitHub Enterprise & shared workflows
- Monitoring: Grafana, Loki, Prometheus
â Bonus Skills
- AI Platforms: Copilot, Claude Code, LangChain, LangGraph, LangSmith
- AI Architecture: MCP, BMAD, Vector Databases, RAG solutions
- Kubernetes AI: GPU-accelerated node pools
- Platform Dev: FastAPI, SQLAlchemy / SQLModel
ð§ What You’ll Do
- Run day-to-day cloud operations and support platform stability
- Design, build, and test cloud and AI platform configurations
- Optimise performance, cost, and operational excellence
- Support developers on platform and AI topics
- Build AI services using REST and managed LLMs
- Deploy, manage, and tune LLMs on GPU-enabled Kubernetes clusters
- Design and implement AI RAG solutions using vector databases
ð What You Bring
- Relevant IT degree
- 5+ years’ experience as a Platform or DevOps Engineer
- Strong hands-on background across cloud, Kubernetes, and automation
Requirements:
- Cloud: Azure (AZ-104)
- Containers: Kubernetes (CKAD), Helm, Kustomize
- IaC: Terraform / OpenTofu
- Programming: Python
- Databases: PostgreSQL (SQL)
- OS: Advanced Linux
- CI/CD: GitHub Enterprise & shared workflows
- Monitoring: Grafana, Loki, Prometheus
- AI Platforms: Copilot, Claude Code, LangChain, LangGraph, LangSmith
- AI Architecture: MCP, BMAD, Vector Databases, RAG solutions
- Kubernetes AI: GPU-accelerated node pools
- Platform Dev: FastAPI, SQLAlchemy / SQLModel
- Run day-to-day cloud operations and support platform stability
- Design, build, and test cloud and AI platform configurations
- Optimise performance, cost, and operational excellence
- Support developers on platform and AI topics
- Build AI services using REST and managed LLMs
- Deploy, manage, and tune LLMs on GPU-enabled Kubernetes clusters
- Design and implement AI RAG solutions using vector databases
- Relevant IT degree
- 5+ years’ experience as a Platform or DevOps Engineer
- Strong hands-on background across cloud, Kubernetes, and automation
02 Feb 2026;
from:
careers24.com