Designs and implements IoT control solutions across multi-site environments for Keedian. Focuses on practical, cost-efficient solutions that ensure operational reliability.
Responsibilities
Design and implement low-cost control solutions using IoT and edge-based architectures.
Work hands-on with devices such as Raspberry Pi, ESP32, or similar, integrating sensors, controllers, and existing building systems.
Develop and debug control logic (HVAC sequencing, scheduling, basic PID) and ensure full system connectivity from device to cloud to dashboard.
Lead deployments across multiple sites, including site surveys, system design, installation, testing, and iteration.
Ensure solutions are reliable, repeatable, and scalable, not one-off implementations.
Operate in environments with incomplete documentation, legacy systems, and multi-vendor setups.
Make pragmatic decisions balancing cost, speed, and performance.
Troubleshoot and resolve issues directly in the field or remotely.
Lead and support a small team of engineers (2–4), while remaining hands-on.
Guide execution, unblock technical challenges, and help establish simple, effective engineering practices.
Identify opportunities to simplify systems, reduce cost, and improve scalability.
Convert one-off solutions into standardized, repeatable approaches that can be deployed across multiple sites.
Requirements
5–8+ years of hands-on experience building and deploying control systems, IoT solutions, or automation systems
Strong understanding of HVAC systems and control logic (sequencing, scheduling, basic PID)
Be familiar with the traditional BMS world
Hands-on experience with IoT or edge architectures (devices, gateways, connectivity)
Experience working across the stack: device, connectivity, cloud, and basic visualization
Familiarity with communication protocols such as MQTT and Modbus (BACnet is a plus, not central)
Basic programming skills (Python, JavaScript, or similar)
Demonstrated ability to build and deploy systems end-to-end (not just design or manage)
Experience working in real-world environments with constraints and imperfect conditions
Ability to work autonomously, make decisions, and own outcomes end to end
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