Senior Cloud Platform Engineer

The person would be working at the intersection of cloud infrastructure and AI/LLM engineering — specifically:

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Designing and deploying AI agents using Google’s Gemini models

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Using GCP’s Vertex AI as the primary ML platform (model hosting, pipelines, endpoints)

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Building with Google’s agent tooling — the Agent Development Kit (ADK) for constructing agent logic, and the Managed Agents API for running/orchestrating them at scale

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Likely involved in things like tool-calling, multi-agent orchestration, RAG pipelines, and connecting agents to enterprise systems

- Role Responsibilities

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Architecting and implementing infrastructure as code (IaC) .

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Defining administrative choices for environments that are auto-configured by IaC.

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Focus on agent use cases , including relationships with BigQuery databases, enterprise connectors, and agent orchestration.

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Heavy leverage of Vertex .

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Investigating and tweaking designs to avoid issues with Pfizer’s enterprise infrastructure and GCP limitations.

Requirements

- Required Skills and Experience

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Strong background in GCP and Vertex .

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Experience with IaC technologies like Kubernetes, Terraform, and CI/CD.

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Enterprise environment experience is crucial to navigate existing GCP and ISRM teams and strictures.

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Preferred transferable skills (due to rarity of specific Google ADK experience):

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Mature experience in AWS or Azure .

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Experience with Bedrock or Azure Agent Foundry .

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GCP experience combined with LangGraph or LangChain .

Originally posted on Himalayas