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CurotecTechnology

Senior Cloud Platform Engineer

São Pauloremotesenior

Posted 1w ago · via Recruitee

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.…

Read the full description on Curotec's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: bigquery, aws, azure, gcp, kubernetes…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is remote-eligible — we factor in your stated location and time-zone overlap.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

bigqueryawsazuregcpkubernetesterraformlangchaingeminivertex aibedrockteams

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