• Client Login
  • Login
  • Employee Login
DATA SCIENCE TECHNOLOGIES LLC
  • Home
  • About Us
  • Business Value
  • Consulting
  • Solutions
  • Jobs Portal
  • Contact Us


Job Description


Job Overview

  • Job ID:

    J54250

  • Job Title:

    GCP Infra DevOps Consultant

  • Location:

    Raleigh, NC

  • Duration:

    12 Months + Extension

  • Domain Exposure:

    Oil & Gas

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

View All Jobs
Similar Jobs

  • DevOps Engineer with C++ and Visual C++ - Princeton, NJ
  • SAP BODS Consultant - Ewing, NJ
  • DevOps Engineer - San Antonio, TX
  • DevOps Engineer - Columbia, SC
  • Devops Engineer - Holmdel, NJ

Title: GCP Infra DevOps Consultant

Location: Raleigh, NC

Duration: 12 Months+ Extension

Bill Rate: $77/hour(C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD


Job Summary

We are looking for an experienced GCP Infra DevOps Consultant with strong hands-on experience in GCP, AWS, Terraform, and CI/CD automation. The candidate will be responsible for automating cloud infrastructure provisioning, deployment, configuration, and operational readiness across GCP and AWS environments. The role involves managing infrastructure for pre-built Conversational AI (CCAI), voice, chat, and RAG/knowledge pipelines. The focus is on cloud infrastructure, automation, deployment, security, and monitoring rather than application development.

Key Responsibilities:

  • Design, implement, and maintain Infrastructure as Code (IaC) using Terraform.
  • Automate provisioning and configuration of GCP and AWS cloud environments.
  • Manage cloud networking, IAM, service enablement, secrets, and security configurations.
  • Build and maintain CI/CD pipelines for application deployment and environment promotion.
  • Automate deployment of pre-built application packages and customer-specific configurations.
  • Provision infrastructure for RAG pipelines, vector databases, document stores, and search indexes
  • Implement logging, monitoring, alerting, and operational dashboards.
  • Manage environment lifecycle, including creation, updates, backups, and teardown
  • Implement cloud security, access controls, and cost optimization.
  • Work closely with Architects and Data Engineers to convert infrastructure designs into reusable modules.

 Required Skill:

  • 5+ years of experience in DevOps, SRE, or Platform Engineering
  • Strong hands-on experience with Terraform and Infrastructure as Code.
  • Practical experience with both Google Cloud Platform (GCP) and AWS.
  • Experience building and managing CI/CD pipelines.
  • Knowledge of GCP Cloud Build and AWS Code Pipeline.
  • Strong understanding of IAM, cloud networking, secrets management, and security.
  • Experience with cloud logging, monitoring, and alerting.
  • Exposure to AWS CDK and cloud infrastructure automation.

Good to Have:

  • Experience with Vertex AI, AWS Bedrock, RAG, and vector databases. 
  • Knowledge of Conversational AI, Contact Center AI (CCAI), voice, and chat platforms. 
  • Google Cloud DevOps Engineer or AWS DevOps/SysOps certification. 
  • Experience supporting GenAI infrastructure and knowledge pipelines.

Apply Now
Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.


Home | About US | Business Value | Consulting | Solutions | Contact Us

© 2004-2026,  Data Science Technologies LLC, or its affiliates