Design Systems : Lead the planning and building of large, dependable software systems using Python, with a strong emphasis on designing solutions that elegantly support and optimize complex business workflows and operations. You will focus on ensuring correctness, performance, reliability, and scalability.
Boost Performance & Fix Tough Issues : Deeply analyze the performance of our software and data systems (Postgres, MongoDB, Redis, Elastic). Identify and resolve complex problems, ensuring the smooth operation of systems critical to business processes.
Guide and Mentor : Coach and support other developers in their design, coding, and problem-solving efforts. Champion and promote best practices for software development across the team.
Shape the Future with Business in Mind : Collaborate closely with product teams and other engineers to plan future development, ensuring technical choices strategically align with evolving business needs and processes.
Own Key Areas : Take ownership and responsibility for major components of our software, ensuring they are well-architected, maintainable, and continue to meet long-term business and technical requirements.
Develop and maintain robust and efficient RESTful APIs and microservices. Implement asynchronous processing patterns to enhance application performance and responsiveness.
Leverage AWS services (EC2, S3, RDS, etc.) to build and deploy scalable cloud-based solutions.
Write clean, well-documented, and testable code following industry best practices.
Participate actively in code reviews to ensure code quality and knowledge sharing.
Troubleshoot and debug complex issues across the application stack.
Stay up-to-date with the latest technology trends and best practices in software Have's :
Strong proficiency in Python programming.
Solid experience with at least one Python web framework such as FastAPI, Django, or Flask.
Hands-on experience working with relational databases like Postgres.
Hands-on experience working with NoSQL databases like MongoDB.
Experience with in-memory data stores like Redis.
Practical experience working with Amazon Web Services (AWS), including services like EC2, S3, and RDS.
Strong understanding of microservices architecture and principles.
Experience designing and implementing RESTful APIs.
Understanding of asynchronous processing techniques and their to Have :
Experience with message queues (e.g., RabbitMQ, Kafka).
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Experience with CI / CD pipelines.
Exposure to monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Experience with testing frameworks (e.g., pytest, unittest).