Key Responsibilities
Lead and mentor a team of 3–5 software engineers. Plan sprints, allocate tasks, and ensure timely project delivery. Design, develop, and maintain scalable web applications using Node.js and React.js Build secure, scalable, and high-performance RESTful APIs. Design and optimize relational and NoSQL databases. Review code and enforce coding standards, security, and best practices. Collaborate with QA, UI/UX, DevOps, and business stakeholders. Participate in solution architecture and technical decision-making. Estimate development efforts, allocate tasks, and monitor project progress. Troubleshoot production issues and optimize system performance. Ensure timely project delivery with high-quality code. Support CI/CD pipelines, deployments, and production releases.
Mandatory Required Technical Skills
4–5 years of experience in Backend development. Back end: Strong expertise in Node.js, Express.js, RESTful API development, Authentication & Authorization (JWT, OAuth), Asynchronous programming, API Security, Logging & Monitoring, Microservices Architecture, QMS Database: MySQL, MongoDB, Amazon DynamoDB Minimum 1 year of hands-on Machine Learning experience on Recommendation Systems and Predictive Analytics ML Skills: Python, Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, XGBoost, Random Forest, K-Means
Preferred Experience
Experience with Campaign Management, Marketing Automation, CRM, Customer Engagement, Loyalty Platforms, Recommendation Engines, or E-commerce platforms is preferred.
Why Join Us?
Lead a high-impact engineering team building AI-powered products. Own technical architecture and project delivery. Build scalable backend systems and production-ready ML solutions. Work directly with business leaders on innovative customer engagement platforms. Grow into a senior Engineering Leadership role while staying hands-on with technology.
Education
Bachelor's degree in Engineering, Computer Science, or related field (Mandatory)
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