Senior Python Backend Developer (Django/FastAPI)

Accountabilities:

• Lead the design, development, and maintenance of backend features using Django and FastAPI, ensuring high performance and scalability.


• Architect robust and scalable web application systems, defining best practices for code quality, structure, and maintainability.


• Establish and enforce technical standards for Python development, including guidelines for AI-assisted coding contributions.


• Optimize cloud infrastructure (primarily Railway with selective AWS usage) to improve performance, scalability, and reliability.


• Design and implement AI tooling, prompts, workflows, and evaluation systems used across engineering teams.


• Define and enforce organizational AI usage policies, including guardrails for security, IP protection, and data handling.


• Mentor engineers, conduct code reviews, and improve evaluation standards for both human-written and AI-assisted code.


• Collaborate closely with product managers and designers to deliver high-quality features aligned with business needs.


• Build and maintain automated testing and evaluation frameworks, including for AI-in-the-loop workflows.


• Evaluate emerging technologies and AI tools to continuously enhance the engineering stack and development efficiency.

Requirements

• 5+ years of professional experience in Python backend development.


• Strong expertise with Django and FastAPI in production environments.


• Proven experience designing and maintaining scalable APIs and backend systems.


• Solid knowledge of PostgreSQL and ORM-based database design.


• Strong understanding of software engineering best practices, CI/CD pipelines, and Agile methodologies.


• Experience with cloud infrastructure (Railway, AWS, or similar platforms).


• Advanced Git skills and experience working in collaborative engineering environments.


• Demonstrated use of AI coding tools (e.g., Cursor, Copilot, Claude Code) in production workflows with strong judgment on validation and quality control.


• Strong communication and problem-solving skills with the ability to balance technical and business priorities.


• Bonus: experience with microservices, containerization, scalable API design, and building AI guardrails or internal AI tooling systems.

• Competitive remote-first compensation ($3,500–$4,500/month depending on experience).


• Fully remote working environment with flexible structure.


• Opportunity to shape AI-driven engineering practices and technical standards.


• High ownership role with direct impact on architecture, tooling, and product direction.


• Work on a proven product with strong market fit and real-world usage.


• Career growth opportunities in a fast-scaling, product-led engineering team.


• Exposure to modern AI-assisted development practices and cutting-edge tooling.


• Collaborative, high-performance engineering culture focused on innovation and impact.

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