We are building next-generation digital twin and IIoT platforms for manufacturing and industrial automation. We are seeking a Full-Stack Developer (Python) to own backend services, cloud infrastructure, and integration with real-time industrial data, while also contributing to frontend dashboards for 2D/3D visualization.

You will work on real-time data pipelines, simulation engines, and monitoring dashboards, collaborating closely with product, DevOps, and data teams.

Responsibilities:

• Design, implement, and maintain backend services to ingest, process, and expose industrial sensor and machine data.
• Build scalable APIs for Digital Twin monitoring and analytics.
• Manage real-time data pipelines and WebSocket endpoints for live monitoring.
• Develop data models and storage solutions optimized for industrial telemetry.
• Architect and manage AWS infrastructure, ensuring secure, scalable deployments.
• Define and maintain IaC using Terraform.
• Configure Salt for provisioning and managing industrial servers and edge devices.
• Build and maintain CI/CD pipelines with GitHub Actions.
• Implement monitoring, error tracking, and observability with Sentry.
• Ensure containerized deployment workflows with Docker are efficient and reliable.
• Collaborate on architecture, code reviews, and integration with other IIoT systems.
• Build and maintain interactive dashboards for industrial data and digital twin visualizations using Vite, Tailwind, Zustand, Chart.js, and Three.js.

What We’re Looking For:

• Strong Python backend experience with API design and data processing
• Experience with real-time data processing or WebSockets
• Knowledge of AWS and infrastructure-as-code principles
• Hands-on experience with Docker, CI/CD pipelines, and monitoring
• Familiarity with frontend frameworks (Vite, Tailwind, Zustand)
• Interest in industrial automation, Digital Twin, or IoT

Nice-to-have:

• MQTT, OPC-UA, or other industrial protocols
• 3D visualization or CAD integration experience
• Experience with IIoT data modeling and analytics

Job Type: Full-time