[Hiring] Full Stack Product Developer @System Soft Technologies

Role Description

This is not a typical SaaS engineering role. You will build software that directly interacts with physical infrastructure - sensors, gateways, chillers, air handling units, and the digital twins that model them. Your code will optimize real energy consumption, detect real equipment faults, and provide real intelligence to facility operators. We are hiring across experience levels. Whether you are a senior engineer who wants to own a critical module, or an early-career developer who wants to grow fast in a high-impact environment, there is a place for you here.

Responsibilities

• Digital Twin Interfaces:
  • Visualize and interact with live 3D/2D building digital twins in the browser
  • Build APIs that serve twin state, alerts, and asset data to front-end and external systems
  • Develop twin synchronization services that keep the virtual model aligned with physical reality
• Real-time Dashboards:
  • Facility operations views: energy KPIs, IAQ metrics, asset health, fault alerts
  • Configurable, role-based interfaces for facility managers and energy teams
• Backend Services:
  • Device data ingestion and normalization pipelines
  • Time-series processing, aggregation, and analytics
  • Optimization and fault detection logic
• Integrations:
  • IoT gateways, BMS connectors, data stream processors
• DevOps & Platform:
  • CI/CD pipelines, containerized deployments, automated testing

Experience

• Python - primary backend language:
  • Data pipelines, analytics services, optimization algorithms, and AI/ML integration
  • Familiarity with FastAPI, Pandas, NumPy, and scientific Python stack
• React / TypeScript - primary frontend stack:
  • Component-driven UI development, state management (Redux / Zustand), data visualization
  • Experience building real-time dashboards with WebSocket or SSE data feeds
• AI & Machine Learning:
  • Integrating AI/ML models into production applications: inference APIs, prediction services
  • Working with LLM APIs (OpenAI, Anthropic Claude) or frameworks like LangChain
  • Building AI-augmented features: natural language queries over facility data, automated anomaly summaries, predictive alerts
• Backend: REST APIs, microservices, data pipelines
• Databases: SQL + time-series (InfluxDB, TimescaleDB) preferred

Digital Twin Awareness

• Understanding of asset modelling, graph data structures, or BIM concepts is a strong plus
• Experience with 3D visualization (Three.js, BabylonJS, or similar) is highly valued
• Comfortable with or willing to develop: Docker, CI/CD, cloud or on-prem deployments
• Strong emphasis on automated testing and system reliability