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Technical Lead – JavaScript Full Stack Developer
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Observed pay for full stack engineer jobs in the united states
Among 53 openings that publish compensation, the median stated annual range is $107K–$156K USD. This uses observed listing data across 715 live jobs, never an estimated salary.
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Reach the decision-maker — $5About the role
**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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