Full-Stack Developer

Summary

Join our dynamic team as a Full-Stack Developer specializing in Machine Learning and API Integration. You will be responsible for database management, API development, machine learning model integration, authentication and payment systems, and building a scalable architecture. Collaborate with cross-functional teams to deliver high-quality solutions and continuously improve system performance. This role requires proficiency in both frontend and backend technologies, along with experience in machine learning and database management. We offer a flexible work environment, promoting work-life balance and limitless career growth opportunities.

Requirements

• Be proficient in both backend (Node.js, Django, Flask) and frontend (React, Angular, Vue.js) technologies
• Have extensive experience with relational (PostgreSQL, MySQL) and NoSQL (Firebase, MongoDB) databases. Have familiarity with database design, optimization, and querying
• Have a strong understanding of RESTful and GraphQL APIs. Have experience in designing, building, and maintaining APIs
• Have experience integrating Python-based machine learning models into web applications. Have familiarity with frameworks like TensorFlow, PyTorch, or scikit-learn
• Have proven experience with user authentication (JWT, OAuth) and payment gateway integrations (e.g., Stripe, PayPal)
• Have experience with Git, GitHub, GitLab, and agile development methodologies
• Have strong analytical and problem-solving skills, with the ability to work through complex challenges
• Have strong written and verbal communication skills. Have the ability to work well in cross-functional teams
• Have at least 15mbps for the main internet and at least 10mbps for backup
• Have a desktop or laptop that has an i5 processor with at least 4 GB RAM and an i3 processor for backup
• Have a webcam
• Have a Noise-canceling USB Headset
• Have a Quiet, Dedicated Home Office
• Have a Smartphone

Responsibilities

• Set up, connect, and manage databases such as PostgreSQL, Firebase, or other relational and NoSQL databases to ensure data integrity, performance, and security
• Design, develop, and maintain efficient and scalable RESTful and GraphQL APIs to support frontend applications and services
• Integrate Python-based machine learning models into frontend environments, ensuring smooth interaction between AI/ML components and user interfaces
• Implement and manage secure authentication systems (OAuth, JWT) and payment gateways (e.g., Stripe, PayPal) to ensure a smooth user experience while maintaining security standards
• Work closely with the architecture team to design and implement scalable, reliable, and performant software solutions that support current and future growth
• Collaborate with frontend developers, data scientists, and other stakeholders to meet technical requirements and deliver high-quality solutions
• Monitor system performance and continuously improve the system architecture, APIs, and integrations based on evolving business and technical needs

Preferred Qualifications

• Have experience with serverless architecture and microservices
• Have familiarity with CI/CD pipelines and automated testing
• Have knowledge of container orchestration using Kubernetes
• Have experience with real-time data processing and WebSockets

Benefits

• Flexibility to work from home or any location of your choice
• Work-life balance