Backend Engineer - Python

Position Overview:

As a Backend Engineer, you will be responsible for designing and developing server-side logic, APIs, and backend systems using Python microservices. You will work closely with frontend developers, product managers, and data scientists to build scalable, secure, and maintainable software powering mission-critical workflows.

The ideal candidate is passionate about clean architecture, performance, and backend scalability, with experience in full stack environments and a solid understanding of modern software practices.

• Write clean, readable, and well-documented code with guidance from senior engineers where needed.
• Implement unit and integration tests to ensure code quality and reliability.
• Participate actively in code reviews, giving and receiving constructive feedback.
• Develop familiarity with SOLID principles, domain-driven design, and modular architecture practices.
• Contribute to refactoring and backend improvement efforts under technical direction.
• Work closely with frontend, Dev Ops, and ML team members to deliver features end-to-end.
• Contribute to CI/CD pipelines and support deployment processes.
• Apply logging and monitoring best practices to ensure observability of your code in production.
• Communicate progress and blockers clearly, and collaborate proactively to resolve issues.
• Actively develop your knowledge of backend, infrastructure, and Dev Ops best practices.
• Show curiosity around emerging technologies and contribute ideas for improvement.
• Take ownership of assigned features and see them through to production with appropriate support.

• Experience building backend services using Python, with some exposure to microservices or distributed systems.
• Hands‑on experience with at least one real-time messaging or streaming technology (Kafka, Redis Pub/Sub, Rabbit
  
  MQ, or similar).
• Practical experience with asynchronous task processing using distributed task queues (Celery, RQ, or similar).
• Experience building REST APIs using modern Python frameworks (FastAPI, Flask, or similar).
• Some exposure to ETL workflows or data pipelines; familiarity with orchestration tools such as Airflow or Prefect is a plus.
• Understanding of caching strategies and message broker concepts.
• Comfortable working with Docker to deploy and run containerised applications.
• Working knowledge of relational databases (Postgre
  
  SQL or similar) and basic query optimisation.
• Exposure to CI/CD pipelines and automated testing practices.

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 21 days of paid annual leave.
• Visa sponsorship for international candidates.