IoT & Cloud Infrastructure Engineer

Job not on LinkedIn

🔥 1 minute ago

🇨🇳 China – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pragmatike

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

Pragmatike is a remote IT recruitment and staffing company that sources, vets, and places international tech talent for businesses. They provide human-curated matching (not solely AI), technical assessments, and fast placements—claiming qualified specialists can be introduced within 48 hours—while handling onboarding, invoicing and international payroll. Pragmatike serves startups and enterprises with roles like developers, data engineers, mobile and game developers, product managers and specialists, operating across 60+ countries with a large vetted talent pool.

📋 Description

• Design, develop and maintain firmware for wearable sensing devices • Build reliable communication and data streaming between devices and cloud services for synchronized vision and tactile data • Design and operate the AWS stack handling large-scale collection, storage and processing of multimodal data • Develop APIs, ingestion services and Python data pipelines for high-throughput, reliable processing • Remotely deploy, monitor and maintain the device fleet and capture setups at real-world collection sites • Turn field issues into engineering fixes • Troubleshoot issues across the full chain from device firmware to cloud deployment • Work with hardware, ML and data teams to define system requirements • Contribute to testing, documentation and continuous improvement of the data collection infrastructure • Occasional travel to sites may be required

🎯 Requirements

• 4+ years of engineering experience across embedded systems and cloud • Strong embedded and firmware skills: C/C++, RTOS, microcontrollers, real-time systems, sensor integration, low-level programming • Hands-on AWS experience: EC2, S3, Lambda, IoT Core, and high-throughput, reliable data pipelines • Solid software engineering in Python or similar: APIs, data streaming services, hardware-to-cloud integration • Good grasp of networking, security best practices, performance optimization, monitoring and logging • Strong debugging skills across hardware, firmware and cloud layers • Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or a related field, or equivalent practical experience • Fluent English required • Korean or Mandarin is a strong plus • Experience with robotics, tactile or force sensing, wearables or IoT devices is a nice to have • Experience building real-world data collection systems is a nice to have • Exposure to ML data pipelines or datasets for robot learning is a nice to have • Experience deploying and supporting hardware in the field is a nice to have

🏖️ Benefits

• Join a very early team at the core of Physical AI, one of the fastest-growing fields in tech • Own a critical system end to end, from device firmware to cloud • Work directly shapes datasets used to train next-generation robot manipulation models • High ownership, fast iteration and real-world impact from day one