Description

Key Responsibilities

AI Platform Engineering • Build and support enterprise AI platform capabilities on GCP. • Create automation solutions that improve platform scalability, reliability, and operational efficiency. Generative AI Engineering • Build Retrieval-Augmented Generation (RAG) architectures. • Integrate OpenAI APIs and enterprise LLM services. • Implement vector search, embeddings, prompt engineering, and AI agents. Kubernetes & Cloud Platform Engineering • Deploy and manage applications on Google Kubernetes Engine (GKE). • Configure Kubernetes deployments, services, ingress controllers, autoscaling, ConfigMaps, and Secrets. Infrastructure Automation • Develop Infrastructure as Code using Terraform. DevOps & CI/CD • Build and maintain CI/CD pipelines. • Automate application testing, builds, containerization, deployments, and release validation. Observability & Reliability • Implement Prometheus and Grafana monitoring solutions. • Create enterprise dashboards, alerts, and operational intelligence capabilities. • Analyze platform health, application performance, and operational metrics. Programming & Automation • Strong Python development experience. • Experience building operational automation. • Working knowledge of Java

Key Skills

Education

Bachelor's degree