Senior Full Stack Engineer – IoT & Data Systems (Tech Lead Path)

Location: New Delhi (On-site )
Company: Trillectric
Industry: CleanTech · IoT · Data Platforms

Overview

We are seeking ahands-on full stack engineer who can own requirements end-to-end — from architecture to delivery — and lead the implementation of platform features focused onIoT integration and real-time data systems. You will work closely with product and business teams, break down high-level needs into technical plans, and guide the execution with support from junior developers.

Key Responsibilities

🧠Leadership & Architecture

• Translate product and business needs into clear technical specs and modular tasks

• Define scalable, maintainable system architecture

• Set up core frameworks and implementation patterns

• Lead by doing: mentor juniors through example, code reviews, and pair programming

💻Development & Delivery

• Build backend services and APIs usingNode.js, including real-time data handling

• Develop responsive front-end interfaces inReact.js or Vue.js

• Integrate withIoT devices, handling data ingestion, formatting, and visualization

• Work withMongoDB andtime-series databases for structured and unstructured energy data

• Maintain code quality, modularity, and system performance

Technical Skills Required

• Strong inNode.js: building APIs, services, and real-time endpoints (WebSocket, MQTT)

• Proficient inReact.js and/orVue.js for dynamic dashboards

• Experience withMongoDB and working withtime-series data

• Understanding ofIoT communication protocols (MQTT, HTTP, WebSockets)

• Familiarity withDocker, CI/CD, and cloud deployment best practices (AWS preferred)

Soft Skills

• Self-starter with a strong execution mindset

• Able to collaborate across product, hardware, and operations teams

• Excellent problem-solving and debugging skills

• Clear communicator with ability to simplify and structure technical work

• Leadership through doing — not just delegating

Preferred Qualifications

• 4–7 years of full-stack development experience

• Prior experience inIoT, energy systems, or data-heavy platforms

• Exposure to real-time telemetry, low-latency data flows, or grid/sensor integration