Python

About the Role

PPStack is a global EdTech brand redefining how learners gain future-ready skills in the digital era. This is a full-time, remote Python role.

Key Responsibilities

• Design, develop, and maintain scalable applications and services that power AI-driven learning platforms, data-driven career solutions, and internal tools.
• Write clean, efficient Python code.
• Integrate APIs and third-party services.
• Build and optimize data pipelines.
• Collaborate with product, data, and instructional design teams.
• Debug and improve existing codebases.
• Contribute to architecture and design decisions.
• Implement best practices in testing, documentation, and security.
• Support experimentation with new learning technologies.
• Assist in the deployment and monitoring of applications in production environments.

Requirements & Tech Stack

• Strong Python programming skills, including experience with core libraries and best practices for clean, maintainable code.
• Skills in web and API development with frameworks such as Django or Flask, including RESTful service design and integration.
• Skills in data handling and processing, including working with SQL/NoSQL databases, data pipelines, and basic data analysis.
• Skills in software engineering practices, such as version control (Git), unit and integration testing, and continuous integration/continuous deployment (CI/CD).
• Skills in working with cloud platforms (e.g., AWS, GCP, Azure) or containerization tools like Docker for deploying and managing applications.
• Skills in problem-solving, analytical thinking, and the ability to translate product and learning requirements into technical solutions.
• Strong communication skills.
• Ability to collaborate in distributed teams.
• A commitment to continuous learning and knowledge sharing.

Qualifications

• A degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience in EdTech, AI/ML projects, or building learning platforms is beneficial.
• Familiarity with data science and machine learning frameworks is beneficial.