Senior Python Developer

We are looking for a Senior Python Developer who is ready to scale and grow with us.

If you’re passionate about clean code, scalable backend architecture, and excited to build something impactful, we’d love to meet you!

• 7+ years of commercial experience in backend development with Python;
• Upper-Intermediate English (B2 or C1) for comfortable verbal team communication.
• Strong hands-on experience with Python, Flask, and SQLAlchemy, Pandas, NumPy;
• Proficiency with Docker and Kubernetes;
• Expertise in software architecture and design patterns, with a proven track record of solving complex technical and performance problems;
• Strong understanding of algorithmic complexity, optimization techniques, and best practices for designing efficient algorithms to solve complex problems;
• Proven ability to handle complex, loosely defined business logic and structure intricate processes cleanly;
• Solid grasp of software architecture and design patterns, with a track record of solving complex technical and performance problems;
• Autonomous in architectural decision-making, comfortable owning hard problems end to end;
• Bonus points if you’ve worked in medical or sports domains.

• Contribute to the full backend lifecycle, from architecture design to production deployment;
• Design, develop, and maintain RESTful APIs using Python, Flask, FastAPI, and SQLAlchemy;
• Implement microservices architecture with message brokers and API gateways;
• Implement authentication and authorization with industry-standard encryption and access control;
• Optimize backend services for performance and efficiency, identifying bottlenecks and implementing solutions to improve response times and resource utilization;
• Implement complex algorithms and data structures to handle data processing, operations research (OR), recommendation systems, and optimization problems;
• Deploy and scale services on GCP (Cloud Functions, Cloud Run, Kubernetes); containerize with Docker;
• Design and optimize database schemas using PostgreSQL/MySQL and integrate Pandas/NumPy for analytics and ML;
• Document API specifications using OpenAPI (formerly Swagger);
• Collaborate with frontend, data science, and DevOps teams to align backend with product goals;
• Maintain engineering standards through code reviews, documentation, and knowledge sharing.