Senior Python Software Engineer - Cloud SaaS (Remote)

Combocurve, Inc.; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Fully remote with in-person New Hire O

Job summary

Combocurve, Inc. is hiring a Senior Software Engineer to help design, build, and maintain the calculation logic, data flows, and infrastructure powering the Economics engine.

You will write modern Python, emphasize architecture and testability, and deliver new features that enhance the platform’s capabilities. The role focuses on backend services, MongoDB data modeling, and cloud deployment using GCP tools.

Qualifications

• Production-grade Python (3.13+), with type annotations and async/await
• REST/OpenAPI contracts design and versioning without breaking consumers
• Flask and/or FastAPI for production services; Gunicorn deployment
• Solid software architecture with decoupled, maintainable services
• Pandas/NumPy for data analysis and deriving insights
• MongoDB schema design, indexing, and aggregation pipelines
• SaaS delivery with full development-to-deploy lifecycle in cloud
• Docker and Docker Compose for local/production environments
• Code quality enforced by tools like Ruff and Pyright; static analysis prioritized

Responsibilities

• Write efficient Python code on structured time series data at scale
• Own features end-to-end from scoping to deployment and monitoring
• Contribute to architectural decisions for the platform
• Build and maintain backend services and APIs in Python
• Model, query, and optimize data in MongoDB with indexing
• Deploy and operate containerized services on cloud infrastructure (GCP)
• Incorporate AI-first development practices to accelerate delivery
• Participate in code reviews and maintain technical documentation

Skills

Python

API design

Flask/FastAPI

SOLID architecture

Pandas/Numpy

MongoDB/PyMongo

Docker

Testing with pytest

Docker Compose

Code quality tools (ruff, pyright)

Tools

MongoEngine

Job description

Combocurve, Inc. is hiring a Senior Software Engineer to help design, build, and maintain the calculation logic, data flows, and infrastructure powering the Economics engine.

You will write modern Python, emphasize architecture and testability, and deliver new features that enhance the platform’s capabilities. The role focuses on backend services, MongoDB data modeling, and cloud deployment using GCP tools.