Senior Full-Stack Developer - Digital Twin

Company:

Location:

Experience:

We're building a cutting-edge real-time digital twin and business intelligence platform powered by location data and IoT sensors for industrial clients. We need a senior full-stack developer with expertise in scalable real-time systems, IoT data processing, and 3D visualization to architect and build this platform from the ground up.

• Real-time IoT data ingestion platform handling millions of sensor data points
• 3D digital twin visualization engine for industrial facilities
• Advanced BI dashboards with real-time analytics and predictive insights
• Scalable microservices architecture supporting enterprise clients
• High-performance APIs for real-time data streaming and visualization

• Design and implement real-time data pipeline using Apache Kafka and Redis
• Build microservices architecture with Node.js/Go for high-throughput IoT data processing
• Implement time-series database solutions (InfluxDB/TimescaleDB) for sensor data storage
• Develop RESTful APIs and WebSocket servers for real-time communication
• Create data processing pipelines for location and IoT sensor analytics

• Build responsive web applications using React.js with real-time data visualization
• Implement 3D digital twin interfaces using Three.js or similar WebGL frameworks
• Create interactive BI dashboards with D3.js, Chart.js for data visualization
• Develop real-time monitoring interfaces with live sensor data updates
• Ensure cross-platform compatibility and mobile responsiveness

• Deploy and manage applications on cloud platforms (AWS/GCP/Azure)
• Implement containerization using Docker and Kubernetes orchestration
• Set up CI/CD pipelines for automated testing and deployment
• Configure monitoring and alerting systems using Prometheus/Grafana
• Ensure system scalability, security, and high availability

• Work with time-series databases and optimize queries for real-time performance
• Implement data streaming and processing using Apache Kafka/Redis
• Build analytics engines for IoT sensor data interpretation
• Create predictive models integration for industrial IoT scenarios
• Design efficient data storage and retrieval systems

• Languages

  : Node.js, Python, or Go (minimum 4+ years experience)

• Databases

  : PostgreSQL, MongoDB, InfluxDB/TimescaleDB, Redis

• Message Queues

  : Apache Kafka, RabbitMQ, or AWS SQS/SNS

• APIs

  : RESTful services, GraphQL, WebSocket implementation

• Cloud Platforms

  : AWS/GCP/Azure with containerization (Docker/Kubernetes)

• JavaScript/TypeScript

  : Advanced proficiency with ES6+ features

• React.js

  : 3+ years building complex web applications

• 3D Visualization

  : Three.js, WebGL, or similar 3D rendering libraries

• Data Visualization

  : D3.js, Chart.js, or similar charting libraries

• Real-time UI

  : WebSocket integration, real-time data binding

• Time-Series Data

  : Experience with sensor data processing and storage

• Real-time Processing

  : Stream processing frameworks (Apache Kafka, Flink)

• IoT Protocols

  : MQTT, HTTP/HTTPS, WebSocket protocols

• High-Performance Systems

  : Experience building low-latency, high-throughput applications

• Distributed Systems

  : Understanding of microservices and event-driven architecture

• Containerization

  : Docker, Kubernetes, container orchestration

• CI/CD

  : GitLab CI, GitHub Actions, automated testing and deployment

• Monitoring

  : Prometheus, Grafana, application performance monitoring

• Cloud Services

  : AWS IoT, Google Cloud IoT, Azure IoT Hub experience preferred

• 5-8 years of full-stack development experience
• 2+ years building real-time data processing systems
• Experience with IoT platforms or sensor data management
• Previous work on scalable web applications (100K+ concurrent users)
• Experience with time-series databases and high-frequency data
• Background in industrial IoT, manufacturing, or enterprise B2B platforms preferred

• Strong problem-solving abilities for complex system architecture challenges
• Experience working in agile development environments
• Excellent communication skills for technical documentation and team collaboration
• Ability to mentor junior developers and lead technical initiatives
• Comfortable working with ambiguity in a fast-growing startup environment

• Competitive salary: Rs. 18-30 lakhs (based on experience)
• Equity/stock options with high growth potential
• Opportunity to build a platform from scratch using cutting-edge technology
• Remote work flexibility with occasional travel for client meetings
• Learning budget for conferences, courses, and certifications
• Hardware budget for high-end development equipment

• Experience with Apple/Google-scale system architecture
• Knowledge of machine learning integration with IoT data
• Previous experience building digital twin or simulation platforms
• Understanding of industrial protocols (OPC-UA, Modbus, etc.)
• Open source contributions to IoT or real-time processing projects

Please include:

1. Portfolio

   : Links to real-time applications or IoT projects you've built

2. Technical Case Study

   : Describe a complex system you architected and built

3. GitHub Profile

   : Show us your code quality and project diversity

4. System Design

   : Brief description of how you'd approach building our platform

1. Technical Screening

   : System design and architecture discussion

2. Coding Challenge

   : Real-time data processing problem

3. System Architecture

   : Design a scalable IoT platform

4. Cultural Fit

   : Team collaboration and communication assessment