REQUIREMENTS

3–5 years of professional experience in full-stack development (not entry-level).
Proficiency in React.js (component-driven architecture, hooks, state management libraries like Redux or Context API).
Strong experience with Node.js & Express.js for back-end development, RESTful APIs, and middleware.
Solid knowledge of databases (MongoDB/NoSQL, SQL) including schema design, query optimization, and performance tuning.
Hands-on experience deploying to cloud platforms (GCP, AWS, Firebase) and leveraging services like Cloud Functions, BigQuery, S3, Lambda, Firestore, and Pub/Sub.
Familiarity with containerization & orchestration (Docker, Kubernetes) is a strong plus.
Experience with AI/ML model integration (TensorFlow, PyTorch, Hugging Face, or equivalent).
Strong understanding of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or Cloud Build).
Excellent problem-solving and analytical skills, with the ability to debug across complex systems.
Collaborative team player with strong communication skills and the ability to explain technical concepts to both technical and non-technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Kindly apply here for a quicker response
https://scoutlysnap.com/static/talent-job-apply/?job=216

Design, develop, and maintain scalable and performant full-stack applications using React, Node.js, and MongoDB, with a focus on reliability and user experience.
Collaborate with cross-functional teams—including product managers, designers, and developers—to define requirements, scope, and delivery timelines.
Implement and integrate AI/ML models into applications, leveraging frameworks like TensorFlow, PyTorch, or Hugging Face to enhance predictive analytics, automation, and personalization features.
Build and optimize RESTful APIs and microservices, ensuring seamless communication between front-end and back-end systems.
Leverage cloud platforms such as Google Cloud (GCP), AWS, and Firebase for deployment, storage, authentication, serverless functions, and scalability.
Develop CI/CD pipelines to automate testing, integration, and deployments, ensuring robust, repeatable, and reliable software delivery.
Maintain strong code quality by writing clean, well-documented, and testable code; participate actively in code reviews and knowledge-sharing sessions.
Troubleshoot, debug, and resolve issues across the entire application stack, implementing root cause solutions to ensure system stability.
Continuously evaluate emerging technologies in full-stack and AI/ML development, recommending improvements and innovations to strengthen product offerings.
Participate in agile processes such as sprint planning, daily stand-ups, and retrospectives to drive efficient, collaborative project execution.
Contribute to system architecture discussions, database design, and scaling strategies for high-traffic, production-ready environments.