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

Location: New Delhi (On-site ) Company: Trillectric Industry: Clean. Tech

• IoT
• Data Platforms Overview We are seeking a hands-on full stack engineer who can own requirements end-to-end — from architecture to delivery — and lead the implementation of platform features focused on IoT 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 using Node.

js , including real-time data handling Develop responsive front-end interfaces in React.js or Vue.js Integrate with IoT devices , handling data ingestion, formatting, and visualization Work with MongoDB and time-series databases for structured and unstructured energy data Maintain code quality, modularity, and system performance Technical Skills Required Strong in Node.

js : building APIs, services, and real-time endpoints (Web. Socket, MQTT) Proficient in React.js and/or Vue.js for dynamic dashboards Experience with MongoDB and working with time-series data Understanding of IoT communication protocols (MQTT, HTTP, Web. Sockets) Familiarity with Docker , 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 in IoT , energy systems, or data-heavy platforms Exposure to real-time telemetry, low-latency data flows, or grid/sensor integration