Senior Cloud Platform Engineer
Curotec
This is a senior engineering role that puts you at the intersection of cloud infrastructure and AI. You'll design and deploy AI agents using Google's Gemini models and Vertex AI—work that's becoming table stakes for any engineer building modern systems. If you want to move beyond junior roles and own real infrastructure decisions early, this is a clear path.
You'll architect infrastructure as code using Terraform and Kubernetes, define how environments get auto-configured, and focus on agent use cases: tool-calling, multi-agent orchestration, RAG pipelines, and enterprise system integrations. You'll work with BigQuery, enterprise connectors, and the Google Agent Development Kit and Managed Agents API at scale. Expect to investigate design tradeoffs between GCP capabilities and enterprise constraints—the kind of problem-solving that teaches you how systems actually work.
You need strong GCP and Vertex experience, hands-on work with IaC and CI/CD, and exposure to enterprise environments. A computer science or engineering degree helps, but what matters most is having built cloud infrastructure before and caring about how things actually deploy.
Apply through CareerJumpShip to submit your resume and portfolio. Link to any cloud or infrastructure work you've done.
About this role
The person would be working at the intersection of cloud infrastructure and AI/LLM engineering — specifically: Designing and deploying AI agents using Google’s Gemini models Using GCP’s Vertex AI as the primary ML platform (model hosting, pipelines, endpoints) 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 Likely involved in things like tool-calling, multi-agent orchestration, RAG pipelines, and connecting agents to enterprise systems Role Responsibilities Architecting and implementing infrastructure as code (IaC). Defining administrative choices for environments that are auto-configured by IaC. Focus on agent use cases, including relationships with BigQuery databases, enterprise connectors, and agent orchestration. Heavy leverage of Vertex. Investigating and tweaking designs to avoid issues with Pfizer’s enterprise infrastructure and GCP limitations. Requirements Required Skills and Experience Strong background in GCP and Vertex. Experience with IaC technologies like Kubernetes, Terraform, and CI/CD. Enterprise environment experience is crucial to navigate existing GCP and ISRM teams and strictures. Preferred transferable skills (due to rarity of specific Google ADK experience): Mature experience in AWS or Azure. Experience with Bedrock or Azure Agent Foundry. GCP experience combined with LangGraph or LangChain. Originally posted on Himalayas
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