Pragmatike

11 – 50 Employees

Consulting Marketing Recruitment

Pragmatike is a remote IT recruitment and staffing company that helps startups and enterprises find international technology professionals. Its service combines human-curated candidate matching with technical assessments, covering roles such as software development, data engineering, mobile and game development, product management, and other specialist positions. Pragmatike also supports the operational side of international hiring, including onboarding, invoicing, and payroll, and operates across more than 60 countries. The company says its vetted talent network can support fast placements, with qualified specialists potentially introduced within 48 hours.

Remote IoT and Cloud Infrastructure Engineer in South Korea

Own firmware, device-to-cloud connectivity, and AWS data pipelines for wearable sensing systems. Help build multimodal robotics datasets for a Physical AI company.

1 week ago

South Korea Remote Full-time Middle Senior English Required Infrastructure Engineer

AWS C++Cloud EC2 IoT Python RTOS

Description

Create and maintain firmware for wearable sensing devices
Develop dependable communication and data streaming between devices and cloud services for synchronized vision and tactile data
Design and run AWS infrastructure across EC2, S3, Lambda, and IoT Core
Build APIs, ingestion services, and Python pipelines for reliable, high-throughput data processing
Deploy, monitor, and maintain device fleets and data-capture setups at real-world collection sites
Translate field problems into practical engineering solutions
Diagnose issues spanning device firmware, networking, and cloud deployment
Partner with hardware, machine learning, and data teams to define system requirements
Support testing, documentation, and ongoing improvements to the data-collection infrastructure
Travel to collection sites occasionally as needed

Requirements

At least four years of engineering experience spanning embedded systems and cloud infrastructure
Strong experience with embedded development and firmware, including C or C++, RTOS, microcontrollers, real-time systems, sensor integration, and low-level programming
Practical AWS experience with EC2, S3, Lambda, IoT Core, and reliable high-throughput data pipelines
Strong software engineering skills in Python or a similar language, including APIs, streaming services, and hardware-to-cloud integration
Working knowledge of networking, security practices, performance optimization, monitoring, and logging
Proven ability to debug across hardware, firmware, and cloud layers
Bachelor’s degree or higher in electrical engineering, computer engineering, computer science, or a related discipline, or equivalent practical experience
Fluent English communication skills
Korean or Mandarin language skills are a strong plus
Experience with robotics, tactile or force sensing, wearables, or IoT devices is desirable
Experience developing real-world data-collection systems is desirable
Exposure to machine learning data pipelines or robot-learning datasets is desirable
Experience deploying and supporting hardware in field environments is desirable

Benefits

Join an early-stage team working at the center of Physical AI
Own a critical system across the full path from device firmware to cloud infrastructure
Directly influence datasets used to train robot manipulation models
Take on substantial ownership in a fast-iterating environment with practical impact from the start

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