Associate Backend Developers at Tobams Group

Key Responsibilities

• Design, build, and maintain scalable backend services and APIs for Tobamsgroup products.
• Collaborate with AI/ML engineers to integrate machine learning models into production environments.
• Implement and support gamification features (progress tracking, leaderboards, reward systems, badges, challenges) through backend logic and APIs.
• Work closely with frontend developers, product managers, and designers to deliver seamless user experiences.
• Maintain and optimize databases (SQL/NoSQL) for performance, scalability, and reliability.
• Ensure code quality by writing clean, testable, and maintainable solutions.
• Monitor, debug, and improve application performance, reliability, and security.
• Participate in code reviews, architecture discussions, and process improvements.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• Strong programming skills in TypeScript and JavaScript.
• Strong proficiency in Node.js (NestJS/Express.js) or similar backend frameworks.
• Solid understanding of RESTful APIs and microservices architecture.
• Proven experience working on AI/ML model integration (e.g., exposing models via APIs, handling inference at scale).
• Proven experience building or supporting gamification features (e.g., points systems, leaderboards, challenges, rewards).
• Experience with databases (MongoDB, PostgreSQL, or MySQL).
• Familiarity with containerization (Docker, Kubernetes) and deployment on cloud platforms (AWS, GCP, or Azure).
• Understanding of authentication/authorization protocols (JWT, OAuth2).
• Experience with CI/CD pipelines and version control (Git).
• Strong problem-solving, debugging, and analytical skills.
• Excellent communication skills (technical documentation & stakeholder reporting).
• Adaptability and ability to thrive in a fast-paced, evolving environment.
• Humble, hardworking, and ambitious mindset.

Nice-to-Have Skills

• Knowledge of Python.
• Experience with message queues (RabbitMQ, Kafka).
• Exposure to DevOps practices and infrastructure as code (Terraform).
• Familiarity with event-driven systems and webhook handling.
• Experience with AI/ML integration and MLOps practices.