Job Description
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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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