Requirements

8–12 years of experience in Platform Engineering, Data Engineering, Cloud Architecture, or AI Platform Engineering Proven experience building enterprise‑scale data and AI platforms Strong programming expertise in Java, Python, Full‑Stack and SQL Experience building microservices and API‑driven architectures Deep understanding of distributed systems and cloud‑native design Strong experience with Google Cloud Platform (GCP) (mandatory) Hands‑on experience with: Kubernetes and containerized workloads Terraform and Infrastructure‑as‑Code CI/CD pipelines and GitOps Experience with Kafka, Pub/Sub, Spark, Flink, or similar systems Strong background in real‑time and batch data processing LLM frameworks and APIs Multi‑agent orchestration frameworks (CrewAI, LangGraph, AutoGen, etc.) RAG pipelines and vector databases Experience building or working with: Agent Gateway architectures A2A communication models MCP or context‑sharing frameworks Agent Development Kits (ADKs) Expe...