Technical Lead – JavaScript Full Stack Developer

T7E Aftermarket Connect Pvt Ltd; Mumbai; On-site; INR 2,800,000 - 3,800,000; Full time

Job summary

T7E Aftermarket Connect Pvt Ltd in Mumbai is seeking a Lead Backend Engineer to mentor a team of 3–5 engineers and guide architectural decisions for scalable web apps built with Node.js and React.js.

You will design secure RESTful APIs, work with SQL and NoSQL databases, and drive CI/CD while applying ML techniques for recommender systems and analytics.

Qualifications

• 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

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.

Skills

Node.js

Express.js

RESTful API

JWT

OAuth

Async programming

ML for recommendations

Python

Scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

XGBoost

K-Means

Education

Bachelor's degree in Engineering/Computer Science

Tools

MySQL

MongoDB

DynamoDB

Job description

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)