We're building a cutting-edge real-time business intelligence platform powered by LIVE location data and IoT sensors for industrial clients.
What You'll Build
- Real-time IoT data ingestion platform handling millions of sensor data points
- Advanced BI dashboards with real-time analytics and predictive insights
- High-performance APIs for real-time data streaming and visualization
Key Responsibilities
- 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
- Develop RESTful APIs and WebSocket servers for real-time communication
- Create data processing pipelines for location and IoT sensor analytics
Frontend Development
- 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
Infrastructure & DevOps
- 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
Data & Analytics
- 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
Required Technical Skills
Backend Technologies
- Languages: Node.js, Python, or Go (minimum 4+ years experience)
- Message Queues: Apache Kafka, RabbitMQ, or AWS SQS/SNS
- APIs: RESTful services, GraphQL, WebSocket implementation
- Cloud Platforms: AWS/GCP/Azure with containerization (Docker/Kubernetes)
Frontend Technologies
- 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
IoT & Real-Time Systems
- 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
DevOps & Infrastructure
- CI/CD: GitLab CI, GitHub Actions, automated testing and deployment
- Cloud Services: AWS IoT, Google Cloud IoT, Azure IoT Hub experience preferred
Experience Requirements
- 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
Soft Skills
- 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
What We Offer
- 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
Bonus Points
- Experience with Apple/Google-scale system architecture
- Knowledge of machine learning integration with IoT data
- Understanding of industrial protocols (OPC-UA, Modbus, etc.)
- Open source contributions to IoT or real-time processing projects
Application Requirements
- Portfolio: Links to real-time applications or IoT projects you've built
- Technical Case Study: Describe a complex system you architected and built
- GitHub Profile: Show us your code quality and project diversity
- System Design: Brief description of how you'd approach building our platform
Interview Process
- Technical Screening: System design and architecture discussion
- System Architecture: Design a scalable IoT platform
- Cultural Fit: Team collaboration and communication assessment
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting