System Soft Technologies
Website:
sstech.us
Job details:
Job Summary:
- 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 (or eagerness to develop it):
- 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
Click on Apply to know more.