Senior Full-Stack Python Engineer

Qualifications and requirements:

We’re looking for a senior engineer who enjoys working across the stack and is passionate about clean, efficient code.

• 5+ years of professional software development experience
• 3+ years with Python web frameworks (Django, FastAPI, Flask)
• 2+ years with React and modern JavaScript/TypeScript
• Experience with PostgreSQL and database optimization
• Familiarity with async programming in Python
• Excellent English communication skills (B2+)

We also value strong collaboration and ownership: we expect you to communicate clearly, contribute to architecture conversations, and maintain code quality through testing and review. Because this is a 100% remote role from anywhere in LATAM, we’ll also expect you to be dependable with async workflows and to keep progress transparent.

Projects

Ruzora is a LATAM-focused staffing partner helping U.S. startups hire top engineering talent. We’re hiring a Senior Fullstack Python Engineer (React + Python) to join our partner companies building data-intensive applications for innovative U.S. startups. In this role, we’ll have you work across the stack—building reliable Python backend services (Django/FastAPI) and responsive React frontends—so users get seamless experiences backed by robust, well-tested APIs. You’ll collaborate closely with data teams to support data pipeline integrations, and help drive architecture and code quality through thoughtful reviews and clean implementation.

Job functions:

As a Senior Fullstack Python Engineer, we will have you:

• Develop and maintain Python backend services (Django, FastAPI, or Flask)
• Build responsive React frontends with modern tooling
• Design and implement RESTful APIs and database schemas
• Write comprehensive tests and maintain code quality
• Collaborate with data teams on data pipeline integrations
• Participate in architecture discussions and code reviews

Conditions:

• Competitive USD salary ($48,000 - $72,000/year), paid monthly via Deel
• 100% remote work from anywhere in LATAM
• Flexible working hours
• Professional development budget
• Health insurance stipend
• Equipment allowance
• Paid time off

We’ll also provide exposure to cutting-edge stacks while working with partner companies building data-intensive applications for U.S. startups.

Desirable skills:

• Experience with data processing (Pandas, NumPy)
• Knowledge of message queues (Redis, RabbitMQ, Celery)
• Experience with GraphQL
• Background in data engineering or analytics