GCP Consultant

Position Overview

We are seeking an Intermediate-level GCP 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 (GCP). The ideal candidate will have hands-on experience developing in Python , provisioning infrastructure using Terraform , and deploying scalable workloads within GCP 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 GCP

Develop backend services, APIs, automation scripts, and integrations using Python

Create and maintain Infrastructure as Code (IaC) using Terraform

Deploy and configure GCP 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 (GCP)

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 GCP 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

• GCP architecture or migration projects / AI/ML prototype deployment

• Event-driven architectures / Microservices / Kubernetes / GKE