Tech Lead (Full stack)

About mple.ai

Mple.ai is an AI-powered training platform for enterprises, designed to deliver scalable, measurable, and impactful training through role-plays and AI-driven evaluations.Our platform allows enterprises to create custom simulations or use pre-built templates, making training more relevant, effective, and impactful. With mple.ai, companies streamline training, improve communication, and empower teams to sell smarter and faster.

Role Overview

We are seeking an experienced and driven Tech Lead with 5 years of full-stack development experience (MERN + Python) and a proven ability to lead small, agile teams. You’ll take end-to-end ownership of product development — from architecture and design to delivery and deployment — while mentoring engineers and driving technical excellence. This is a hands-on leadership role, ideal for someone who thrives in a fast-paced, startup environment and enjoys solving complex problems with clean, scalable solutions.

Key Responsibilities

• Technical Leadership : Lead and mentor a team of developers, ensuring best practices in design, architecture, and coding standards.
• End-to-End Development Ownership : Oversee full lifecycle of product development — architecture, implementation, testing, deployment, and maintenance.
• Hands-On Development : Contribute directly to the codebase using MERN stack (MongoDB, Express, React, Node.js) and Python (Flask or FastAPI).
• System Architecture & Scalability : Design and optimize system architecture for high performance, scalability, and reliability.
• Cross-Functional Collaboration : Work closely with founders, product managers, and designers to translate business needs into technical solutions.
• Process & Quality Management : Drive code reviews, CI / CD practices, documentation, and ensure clean, maintainable code.
• Innovation & Improvement : Stay current with emerging technologies and continuously identify opportunities for process or tech stack enhancement.

Qualifications

Location : Mulund West, Mumbai

Mode : Onsite (5 days a week)

Type : Full-time Experience : 5–7 Years

Joining : Immediate