Senior AI Platform Engineer

GFiber; United States; On-site; USD 140,000 - 205,500; Full time

Benefits offered by this job

Bonus and cash award

Comprehensive benefits

Job summary

Google Inc. is seeking a Senior Platform Engineer for GFiber's AI initiatives. You will architect and build the Internal AI Developer Platform, managing complex AI services. The role requires extensive experience in cloud infrastructure and building scalable applications.

The ideal candidate has 8+ years of experience in SDLC and CI/CD pipelines and specializes in enterprise AI infrastructure. A competitive salary and comprehensive benefits are offered.

Qualifications

• 8 years of experience setting up SDLC, CI/CD pipelines, and supporting enterprise applications.
• 5 years as a senior platform engineer with experience in AI infrastructure.
• Hands-on experience with cloud and Infrastructure as Code.

Responsibilities

• Architect and build the Internal AI Developer Platform.
• Design and build enterprise model gateways for management.
• Optimize Retrieval-Augmented Generation pipelines.
• Oversee deployment of microservices for AI performance.

Skills

Python

Java

GCP infrastructure tools (GKE, CloudRun, CloudFunctions)

Infrastructure as Code

Automation

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform

Ansible

Job description

Role Description

GFiber is at a transformative crossroads, modernizing foundational systems for AI initiatives. The Platform Engineering team builds frameworks for autonomous AI agents, implements guardrails and monitoring for LLMs, and develops specialized CI/CD pipelines for AI agents and machine learning workflows.

Responsibilities

• Architect and build the Internal AI Developer Platform (IDP), abstracting complex GCP AI services into self‑service APIs, SDKs, or Terraform modules.
• Design and build enterprise model gateways that manage rate‑limiting, load‑balancing, failovers, and unified telemetry.
• Build and optimize Retrieval‑Augmented Generation (RAG) pipelines grounded in internal client policies and technical documentation.
• Oversee deployment of microservices using GKE, Cloud SQL, and Cloud Build, ensuring scalable and reliable AI performance.

Qualifications

Minimum

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 8 years of experience setting up SDLC, CI/CD pipelines, automation, troubleshooting, launching, and supporting enterprise applications as an individual contributor and in a lead capacity.
• 5 years as a senior platform engineer, recent years dedicated to architecting and scaling enterprise AI infrastructure, including multi‑agent systems and workflow automation.
• 5 years of hands‑on experience with public cloud and Infrastructure as Code.
• Experience with Python, Java, GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS, etc.) and infrastructure management technologies (Terraform, Ansible, etc.).

Preferred

• Experience optimizing applications for performance in distributed systems.
• Hands‑on experience with Google Cloud Platform.
• Experience with multi‑cloud environments and other cloud providers (AWS, Azure, etc.).
• Strong problem‑solving and analytical skills.
• Effective communication and teamwork skills.

Benefits

US base salary range $140,000 – $205,500 plus bonus, cash award, and benefits. Salary varies by location.