Roles & Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance backend systems using Python Django.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize application performance and scalability by implementing caching strategies, load balancing, and distributed computing techniques.
• Ensure data integrity and security by implementing best practices for data storage, retrieval, and access control.
• Develop and maintain integrations with external APIs and services to support seamless interactions with third-party systems.
• Identify and address performance bottlenecks and other system issues to improve overall system efficiency.
• Write clean, maintainable, and testable code following industry-standard coding practices.
• Conduct code reviews and provide constructive feedback to peers to ensure code quality and adherence to best practices.
• Mentor junior team members and assist in their professional growth.

Requirement:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience in backend development, preferably in a similar industry
• Strong proficiency in Python and Django web framework.
• Experience with databases such as PostgreSQL and MongoDB, including data modeling, query optimization, and performance tuning.
• Familiarity with caching technologies like Redis and search engines like Elasticsearch.
• Hands-on experience with message brokers and task queues, such as Celery.
• Knowledge of RESTful APIs and experience in building and consuming them.
• Solid understanding of software development principles, design patterns, and best practices.
• Experience with version control systems, preferably Git.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Self-motivated and proactive, with a strong sense of ownership and accountability.

Bonus skills

• Prior experience working in a startup or fast-paced environment.
• Experience with cloud platforms such as GCP or AWS.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Exposure to CI/CD pipelines and automated testing frameworks.