Posted on: 27/04/2026
Responsibilities :
- Own end-to-end engineering execution across IoT, cloud, data and ML systems.
- Architect scalable, reliable, edge-aware systems for real-world conditions.
- Drive platform architecture and technical decisions.
- Build and scale high-performing engineering teams.
- Ensure system reliability, security, and performance.
- Collaborate with Product and Ops to translate domain problems into tech solutions.
- Oversee device-to-cloud systems, backend services and data pipelines.
Requirements :
- 9+ years in building complex systems (IoT / distributed / data platforms).
- Strong cloud architecture experience (AWS/GCP/Azure).
- Hands-on with backend systems (Node.js preferred).
- Experience with ML systems deployed in production.
- Understanding of IoT, edge computing, and real-world system constraints.
- Proven engineering leadership in startups/scaling environments.
- Ability to own architecture + stay hands-on technically.
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