Python- Backend

Job Description:

We are seeking a highly skilled Backend Engineer to join our dynamic team. The ideal candidate will be responsible for developing, deploying, and maintaining the backend systems that power our cutting-edge AI and AR applications. You will work closely with our data scientists, frontend developers, and product managers to ensure seamless integration and performance of our platform.

Key Responsibilities:

• Design, develop, and maintain scalable and robust backend systems and APIs.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Optimize applications for maximum speed and scalability.
• Implement data storage solutions, including databases and data warehouses.
• Develop and maintain microservices architecture.
• Ensure the security, reliability, and performance of backend services.
• Write clean, maintainable, and efficient code.
• Conduct code reviews and provide constructive feedback.
• Troubleshoot and debug applications.
• Stay up-to-date with the latest industry trends and technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 1+ years of experience as a Backend Engineer or similar role.
• Strong proficiency in backend programming languages such as Python, Node.js, or Java.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Proficient in database management systems like PostgreSQL, MySQL, MongoDB, or similar.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with microservices architecture.
• Knowledge of RESTful APIs and web services.
• Understanding of security principles and data protection.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Experience with AI/ML frameworks and tools.
• Familiarity with AR technologies.
• Experience with CI/CD pipelines and tools like Jenkins, GitLab CI, or AWS CodePipeline.
• Knowledge of serverless architecture and services (e.g., AWS Lambda, Google Cloud Functions).
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).