Job Description

Responsibilities:

• Design and develop robust, scalable, and secure web applications with a focus on backend development using Django/Node and SQL/PostgreSQL.
• Design and implement RESTful APIs to support our Frontend using Django Rest Framework.
• Ensure the scalability and reliability of our backend infrastructure on AWS.
• This includes the configuration and management of EC2 instances, RDS databases, S3 buckets, and other related services.
• Work closely with our data science team to develop efficient data models and pipelines to support our machine learning and data analysis initiatives.
• Collaborate with our front-end developers to ensure seamless integration between the Frontend and Backend.
• Identify and troubleshoot issues related to the backend infrastructure and work with the team to implement solutions in a timely manner.
• Develop and maintain documentation for our backend systems, APIs, and data models.
• Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.
• Break down high-level business problems into smaller chunks and build systems for enabling efficiencies
• Take ownership of the development, testing, and deployment of web applications.
• Define and implement the technical architecture of the application, and ensure that it is scalable, secure, and able to handle high traffic.
• Stay up-to-date with the latest technologies and industry trends, and quickly adapt to new technologies as needed.
• Participating in code reviews and providing feedback to other developers to ensure that the codebase is maintainable and scalable.

Requirements:

• Strong proficiency in Python and Django, including experience with Django Rest Framework.
• Experience working with SQL/PostgreSQL databases, including schema design, querying, and optimisation.
• Proficiency in AWS services such as EC2 RDS, S3 and Lambda.
• Familiarity with Redis or other caching technologies.
• Knowledge of modern frontend frameworks such as React, Redux, and Webpack.
• Strong understanding of software development principles such as testing, version control, and continuous integration.
• Strong understanding of data structures, algorithms, and software design patterns.
• Experience with containerisation and orchestration technologies such as Docker and Kubernetes is a plus.
• Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.