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