Fullstack Backend Developer

About the Company:

Cortex is an AI-powered platform built for real estate investors and asset managers. It transforms fragmented financial, technical, and commercial data into clear dashboards and predictive insights helping real estate professionals optimize performance, reduce costs, and make smarter, faster decisions. Designed for strategic decision-making in real estate, Cortex uses advanced AI to make complex analysis and insights generation fast, intuitive, and fully automated. By combining innovation with intelligence, Cortex is redefining how the industry leverages data and AI setting a new standard for modern real estate management.

About the Role:

We’re looking for a talented Backend Developer with strong DevOps skills to join our core product team and help build a high-performance, scalable platform. You’ll collaborate with designers, product managers, and fellow engineers to deliver powerful, user-friendly features across both front-end and back-end layers.

This role offers the chance to take technical ownership, contribute to architecture decisions, and build a product at the intersection of AI and real estate innovation.

Responsibilities

• Design, develop, and maintain backend services and APIs
• Build scalable data pipelines and processing systems in Python
• Manage and optimize Google Cloud infrastructure (GCP)
• Implement DevOps best practices (CI/CD, monitoring, automation)
• Ensure security standards across services, data, and infrastructure
• Collaborate with product managers and engineers on architecture decisions
• Participate in code reviews, testing, and performance tuning



Requirements

• 3+ years of experience as a backend developer
• Strong knowledge of Python (FastAPI)
• Hands-on experience with Google Cloud Platform (Compute Engine, Cloud Run, Pub/Sub, BigQuery, etc.)
• Proven experience with DevOps practices and CI/CD pipelines
• Solid understanding of application and cloud security principles
• Proficiency with Git and containerization (Docker, Kubernetes)
• Experience with monitoring, logging, and scaling distributed systems