Google Cloud Platform Engineer

Overview

Remote
$40 - $50
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

gcp
Generative AI
LLMs
MLOps
DevOps
Terraform
Kubernetes
Docker
Jenkins
GitOps
AI/ML
Cloud
Large Language Models
Artificial Intelligence
Google Cloud Platform

Job Details

Job Title: Google Cloud Platform Engineer (DevOps, LLM/AI, Data Engineering)
Location: Remote (USA)
Job Type: C2C / Contract
Duration: 12 Months (with possible extension)
Experience : 10+ years

Must have Telecom Domain Exp

Certification:- Google Cloud Platform (Google Cloud Platform)

Job Overview:
We are seeking a highly skilled Google Cloud Platform Engineer with strong expertise in DevOps, Large Language Models (LLMs), Artificial Intelligence, and Data Engineering. The ideal candidate will design, develop, and optimize cloud-native solutions leveraging Google Cloud Platform services, modern DevOps practices, and AI/ML technologies to support scalable, data-driven business applications.
Key Responsibilities:

  • Design, implement, and manage scalable solutions on Google Cloud Platform (Google Cloud Platform).
  • Collaborate with cross-functional teams to integrate LLM/AI models into enterprise applications.
  • Build and maintain CI/CD pipelines, automate deployments, and ensure high availability.
  • Develop and optimize data pipelines for ingestion, transformation, and analytics.
  • Work closely with Data Scientists and ML Engineers to deploy and monitor ML/LLM models in production.
  • Implement MLOps best practices for AI/ML lifecycle management.
  • Monitor system performance, security, and compliance across cloud infrastructure.
  • Troubleshoot and resolve issues related to Google Cloud Platform services, DevOps pipelines, and AI deployments.

Required Skills & Qualifications:

  • Overall 10+ with 5+ years of hands-on experience as a Cloud/DevOps/Data Engineer.
  • Strong expertise in Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Pub/Sub, Cloud Run, etc.).
  • Experience with LLMs (OpenAI, Anthropic, Google Gemini, or similar) and integrating AI/ML models into applications.
  • Solid background in DevOps (Terraform, Kubernetes, Docker, Jenkins, GitOps, etc.).
  • Proficiency in Python, Java, or Go for automation and AI-related tasks.
  • Experience with Data Engineering (ETL, data lakes, real-time streaming, SQL/NoSQL databases).
  • Knowledge of MLOps frameworks and model deployment pipelines.
  • Strong problem-solving skills and ability to work independently in a remote environment.

Preferred Qualifications:

  • Google Cloud Platform Professional Certifications (Cloud Architect, Data Engineer, or ML Engineer).
  • Experience in Generative AI, NLP, and fine-tuning LLMs.
  • Familiarity with data security, governance, and compliance in cloud environments.
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