System Software Engineer

Description

• Handle role-based access, API observability, logs, uptime metrics, and system scaling
• Build modular, secure REST APIs for real-time data ingestion, device control, alerts, and AI model integration
• Deploy containerised services (Docker) and CI/CD pipelines to AWS or GCP
• Design time-series data schema and store telemetry data using PostgreSQL/TimescaleDB
• Design, implement and maintain cloud-based backend systems using Python (FastAPI) or Node.js (NestJS preferred)
• Ensure scalability, security, and maintainability across backend and API layers
• Design the end-to-end software architecture for the EMS backend, mobile app services, and data infrastructure
• Define modular components for device integration, data pipelines, ML inference, and real-time user interfaces
• Help develop web-based internal tools or dashboards (React/Next.js)

Requirements

This is a high-ownership, builder-first role with strong potential to grow into AI-Software Lead.

Share your GitHub/portfolio with relevant projects (especially mobile, ML, or API integrations) - are highly preferred !!

We are developing an Energy Management mobile-first B2C app that connects solar generation, battery storage, and smart-home appliances into a unified interface — empowering users to monitor, optimise, and automate their energy usage at homes. Our product vision spans from AI-integrated control (phase 1) and will transition to AI-native agents (phase 2).

We are hiring an experienced Software Lead who will own the overall system architecture, backend development, cloud infrastructure of our solution. You’ll work closely with our IoT, ML, solar, and UI/UX team to bring the product to market.

1) System architecture & Engineering

• At least 1 production-ready product or 2-3 MVP delivered to end users — SaaS or mobile app
• Proficiency in backend development with Python (FastAPI) or Node.js/NestJS
• Build or contribute to React Native mobile app (ideal if you have mobile frontend experience)
• Own architectural decisions as the product evolves from AI-integrated to AI-native agentic application
• Experience working in small, fast-moving teams (startup or lean product development teams)
• Exposure to ML model integration (serving endpoints, forecasting APIs, etc.)
• Prior role involving system design or architecture for a SaaS/mobile/IoT product
• 2–4 years experience in full-stack or backend software development
• Familiarity with API versioning, CI/CD, Docker, and cloud deployment (AWS/GCP)
• Experience designing and managing PostgreSQL databases with telemetry or analytics data

Benefits

2) Bonus: Frontend development

• Compensation: up to ₹6 LPA (further negotiable based on experience & skillsets)

Training + Development

Interview process

Visa Sponsorship

Security clearance