Remote IoT & Cloud Infrastructure Engineer (Korea)

Hidden Jobs

United States

Remote

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

Hidden Jobs seeks an experienced engineer to own the full stack from wearable firmware to cloud data processing. You will build and maintain field-ready data pipelines, ensure tight synchronization of vision and tactile streams, and collaborate across hardware, ML, and data teams in a remote-first role anchored in South Korea.

Expect hands-on firmware, cloud infrastructure, and Python API work with travel to field sites.

Qualifications

  • 4+ years engineering experience across embedded and cloud infrastructure.
  • Strong firmware skills in C/C++ with RTOS and sensor integration.
  • Hands-on AWS experience with EC2, S3, Lambda, IoT Core.
  • Solid Python for APIs, streaming services, and cloud integration.
  • Knowledge of networking, security, monitoring and logging.
  • Fluent English; Korean or Mandarin is a plus.
  • Bachelor's degree or higher in a related field.

Responsibilities

  • Design, develop, and maintain firmware for wearable sensing devices including microcontroller code.
  • Build device-to-cloud streaming pipelines keeping vision and tactile data synchronized.
  • Operate and extend AWS infrastructure stack for high-throughput data collection.
  • Develop Python APIs, ingestion services, and data pipelines for large volumes.
  • Deploy, monitor, and maintain device fleets at field sites; travel as needed.
  • Debug across firmware, networking and cloud; collaborate with cross-functional teams.

Skills

Embedded systems
Cloud infrastructure
C/C++ (RTOS)
Python
Networking & security
English communication

Education

Bachelor's degree or higher in Electrical Engineering, Computer Engineering, CS, or related field

Tools

AWS IoT Core
EC2 / S3 / Lambda

Job description

Hidden Jobs seeks an experienced engineer to own the full stack from wearable firmware to cloud data processing. You will build and maintain field-ready data pipelines, ensure tight synchronization of vision and tactile streams, and collaborate across hardware, ML, and data teams in a remote-first role anchored in South Korea.

Expect hands-on firmware, cloud infrastructure, and Python API work with travel to field sites.

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