Senior Platform Engineer – AI

Job not on LinkedIn

🕒 May 19

🇺🇸 United States – Remote

💵 $156.8k - $229.7k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Google Fiber

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

📡 Telecommunications

Telecommunications • Internet

Google Fiber is a high-speed internet service provider and a subsidiary of Alphabet Inc. , offering fiber optic communication services to select areas in the United States. As an integral part of Google's suite of products and services, Google Fiber aims to provide fast and reliable internet connections to enhance user experience across digital platforms.

📋 Description

• Architect and build the Internal AI Developer Platform, abstracting GCP AI services such as Vertex AI, Agent Engine, and Model Garden into self-service APIs, SDKs, or Terraform modules • Design and build enterprise model gateways with rate limiting, load balancing, failover, and unified telemetry • Build and optimize Retrieval-Augmented Generation (RAG) pipelines grounded in internal client policies and technical documentation • Oversee microservices deployment using GKE, Cloud SQL, and Cloud Build • Architect and deploy next-generation agentic systems and LLM-powered platforms • Bridge AI architecture and scalable cloud infrastructure • Drive automation strategies and infrastructure standards across the product suite

🎯 Requirements

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience • 8 years of experience setting up SDLC and CI/CD pipelines, automation, troubleshooting, launching, and supporting enterprise applications as an individual contributor and in a Lead capacity • 5 years of experience as a senior platform engineer, including recent years architecting and scaling enterprise AI infrastructure • Demonstrated expertise building multi-agent systems, workflow automation, and emerging integration frameworks such as A2A and MCP • 5 years of hands-on experience with public cloud and Infrastructure as Code (IaC) • Experience with Python, Java, and GCP infrastructure tools including GKE, Cloud Run, Cloud Functions, and GCS • Experience with Terraform, Ansible, and cloud infrastructure management and automation technologies • Role is not eligible for immigration sponsorship

🏖️ Benefits

• Bonus • Benefits • Equal opportunity employment • Accessible, inclusive workplace • Applicant accommodations and confidential accommodations support