Senior GCP Engineer: AI Platforms & Development

Role responsibilities

As a Senior GCP Engineer, you will build and maintain production-grade microservices and APIs for AI workflows, transitioning AI prototypes to scalable production environments. You will also collaborate with AI specialists to ensure best practices are implemented in GCP.

Requirements

Candidates should have 8+ years of software engineering experience with a focus on backend development and 3+ years of experience with Google Cloud Platform. Proficiency in Python and/or Go, along with hands-on experience with Gemini and Vertex AI SDKs, is required.

Key skills

Software Engineering, Backend Development, Google Cloud Platform, Python, Go, Gemini, Vertex AI, Prompt Engineering, Function Calling, Cloud Run, GKE, BigQuery, Terraform, MLOps, AI Safety, Observability

Keywords

Senior GCP Engineer, AI Platforms, Development, Microservices, APIs, Agent Workflows, Gemini Enterprise, CX Agent Studio, Vertex AI Agent Builder, Generative Playbooks, Cloud Functions, Data Pipelines, CI/CD, MLOps, Terraform, AI Safety, Observability, Cloud Run, GKE, BigQuery, Vector Databases, Prompt Engineering, Function Calling, Innovation Lab, AI Starter Kits, Backend Templates, Cross-Practice Collaboration, Strategic Consulting, Technical Assets, Technical Standards