Job Title: Google Cloud Platform Incubator Consultant – Python & Terraform (Intermediate Level)

San Francisco, CA, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
6 Months
Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • GCP
  • Python
  • Terraform

Summary

Google Cloud Platform Consultant 
onsite San Francisco, CA 

We are seeking a Google Cloud Platform Incubator consultant to begin work in-office asap (San Francisco, CA) is the location. Seeking someone with Intermediate skills in Google Cloud Platform, Terraform and Python development to help build new cloud-native prototypes, launch MVPs (Minimum Viable Products), and transition early-stage software into production environments


Job Title: Google Cloud Platform Incubator Consultant – Python & Terraform (Intermediate Level)

Location: San Francisco, CA (Onsite – 5 days/week)
Duration: Contract (6+ months, extension possible)
Start Date: Immediate / ASAP

 



Position Overview
We are seeking an Intermediate-level Google Cloud Platform Incubator Consultant to join an innovation-focused engineering team responsible for building cloud-native prototypes, MVPs (Minimum Viable Products), and early-stage software solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have hands-on experience developing in Python, provisioning infrastructure using Terraform, and deploying scalable workloads within Google Cloud Platform environments.
This role requires someone comfortable working in ambiguous startup-style environments, rapidly iterating on ideas, and helping transition experimental solutions into production-ready systems.



Key Responsibilities

  • Design, build, and support cloud-native applications and prototypes on Google Cloud Platform
  • Develop backend services, APIs, automation scripts, and integrations using Python
  • Create and maintain Infrastructure as Code (IaC) using Terraform
  • Deploy and configure Google Cloud Platform services including compute, networking, IAM, storage, and monitoring components
  • Assist in building MVPs and proof-of-concepts for new products and internal initiatives
  • Collaborate with architects, product teams, and engineering stakeholders to convert business ideas into technical solutions
  • Support migration of incubator projects from prototype stage into production environments
  • Implement CI/CD pipelines and automate deployment processes
  • Participate in troubleshooting, performance optimization, and cloud cost management
  • Document architectures, deployment processes, and operational procedures
  • Follow cloud security and governance best practices


Required Skills & Qualifications
Cloud Platforms

  • 2–5+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform)
  • Experience working with services such as:
    • Compute Engine
    • Cloud Run / Cloud Functions
    • GKE (preferred) / Cloud Storage
    • BigQuery (nice to have) / Pub/Sub
    • Secret Manager / IAM / VPC Networking

Infrastructure as Code

  • Strong experience with Terraform
  • Ability to:
    • Build reusable modules
    • Provision Google Cloud Platform resources
    • Manage state files/workspaces
    • Implement environment-specific deployments

Development

  • 2–5+ years of Python development
  • Experience with:
    • REST APIs
    • Automation scripting
    • Backend services
    • Flask/FastAPI (preferred)
    • Data processing workflows (nice to have)

DevOps / CI-CD
Experience with one or more:

  • GitHub Actions
  • Jenkins / GitLab CI/CD
  • Cloud Build / Docker  / Kubernetes (preferred)

Additional Requirements

  • Experience operating in Agile or startup/incubator environments
  • Ability to work independently with evolving requirements
  • Strong debugging and problem-solving skills
  • Excellent communication and collaboration abilities
  • Comfortable working onsite in San Francisco


Preferred Qualifications
Candidates with exposure to any of the following will stand out:

  • Building MVPs or startup products
  • Google Cloud Platform architecture or migration projects / AI/ML prototype deployment
  • Event-driven architectures / Microservices / Kubernetes / GKE



    Deep Chand


 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10423087
  • Position Id: 8534-19411-
  • Posted 3 hours ago
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