Senior Python Back-end Developer

  • Design, develop, test, and maintain scalable backend applications using Python and Django.
  • Build and maintain RESTful APIs using Django REST Framework.
  • Develop secure, efficient, and maintainable code following best practices.
  • Optimize application performance, database queries, and backend architecture.
  • Deploy, configure, and maintain cloud infrastructure using AWS services.
  • Implement authentication and authorization solutions, including OAuth.
  • Manage asynchronous tasks using Celery and message brokers.
  • Work with Docker and containerized environments.
  • Collaborate with frontend developers, product managers, and QA engineers.
  • Participate in code reviews and contribute to technical discussions.
  • Monitor production systems, troubleshoot issues, and improve reliability.
  • Maintain high standards of web security, scalability, and performance.
  • Expertise in Python (5+ years) and Django framework, ORM, migrations, admin interface, creating REST API with Django Rest Framework;
  • Experience with setting up or maintaining AWS (S3, RDS, SNS, SQS, CloudFront, CloudFormation) and implementation of OAuth flows;
  • Proficiency with AI tools/LLM, Celery (4.x/5.x) and message brokers (Redis or RabbitMQ);
  • Experience using Docker (Dockerfile, docker-compose) and basic CI/CD knowledge (GitHub Actions or similar);
  • Good knowledge of SQL and relational databases (preferably PostgreSQL); Proficiency in Git (Pull/Merge Requests, Code Reviews, Git Flow);
  • English language — Full professional proficiency in English
This is a Senior position only. Only apply if you have at least 5 years of experience in these areas:
Language: Python (primary), basic JavaScript (Vue.js — nice to have)
Database: PostgreSQL
Framework: Django, Django REST Framework
Models: Django ORM models (relational)
Architect Patterns: RESTful API
Broker Message: Redis or RabbitMQ
Cache: Redis
Monitoring Tools: Sentry (Pytest, Flake8, Bandit, wemake-python-styleguide - nice to have)
LLM: AI tools (OpenAI, Claude, RAG / Knowledge Base Tools, Zapier, Make.com)
  • A fully remote role with flexible working hours.
  • The opportunity to work on innovative projects alongside a collaborative and talented team.
  • Competitive full-time/freelance compensation, based on experience.
  • Room for professional growth and long-term opportunities within the organization.