Staff Full Stack Software Engineer, Climate Finance Project

X9

Mountain View, California, USA
Base: $165,000 - $245,000; bonus/equity: bonus + e...
**
Python backend development (fastapi/flask)
Typescript/react frontend development
Google cloud platform (gcp) expertise
** X9 is seeking a Staff Full Stack Software Engineer for their Climate Finance Project in Mountain View, California. The role focuses on developing distributed modeling and design infrastructure to tackle climate change, requiring extensive experience in full-stack development, particularly on the Google Cloud Platform. **

Job Summary

  • As the Senior Full Stack Engineer, you will be the architect and developer of our distributed modeling and design infrastructure.
  • This role offers a remarkable chance to impact climate change by accelerating global decarbonization through advanced machine learning, design, and modeling technologies.
  • Own the end-to-end deployment and operations of the application on Google Cloud Platform (GCP), utilizing services like Cloud Run, GKE, and BigQuery.

Matching Summary

Match Score: 75

** X9 is seeking a Staff Full Stack Software Engineer for their Climate Finance Project in Mountain View, California. The role focuses on developing distributed modeling and design infrastructure to tackle climate change, requiring extensive experience in full-stack development, particularly on the Google Cloud Platform. **

Salary

Base: $165,000 - $245,000; Bonus/Equity: bonus + equity; Benefits: benefits

Skills & Requirements

Must-have

  • Python backend development (FastAPI/Flask)
  • TypeScript/React frontend development
  • Google Cloud Platform (GCP) expertise
  • Large-scale data management systems
  • MLOps and MLOps technologies
  • Infrastructure as Code (Terraform)

Nice-to-have

  • Thrive in ambiguity
  • 0 to 1 product development

Key Requirements

  • 10+ years professional experience
  • Building and hosting front-end products on GCP
  • Modern frontend (TypeScript, React, Next.js)
  • Backend (Python, FastAPI/Flask)
  • Relational databases (BigQuery, PostgreSQL)
  • Containerization (Docker)
  • Distributed compute (CloudRun, Kubernetes)
  • MLOps and ML model training/serving
  • Large Language Models (Gemini)
  • Agentic workflows (Agent Development Kit)
  • Strong product mindset
  • Infrastructure as Code (Terraform)
  • MLOps and DevOps principles
  • CI/CD pipelines (Cloud Build, GitHub Actions)
  • Startup or small team environments

Work Rights

Not specified

Tailored Resume

Cover Letter