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