Cloud & IoT Service Engineer
🌐 Remote💼 Full-time🗓 2026-06-25
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## About the Company
Join a global leader in cloud-native solutions and IoT innovation, driving secure and scalable platforms across industries. We collaborate closely with international partners, including China-based teams, to deliver cutting-edge technologies for connected ecosystems.
## About the Role
Manage AWS-native services (AWS EC2, EKS, MSK, Lambda, Aurora etc.) and hybrid cloud environments, ensuring high availability for IoT backend systems handling cross-regional data flows. Optimize Kubernetes clusters and edge computing infrastructure for real-time IoT telemetry and predictive maintenance use cases.
## Responsibilities
### Cloud & IoT Platform Operations
- Manage AWS-native services (AWS EC2, EKS, MSK, Lambda, Aurora etc.) and hybrid cloud environments, ensuring high availability for IoT backend systems handling cross-regional data flows.
- Optimize Kubernetes clusters and edge computing infrastructure for real-time IoT telemetry and predictive maintenance use cases.
### DevOps & Automation
- Design CI/CD pipelines using Jenkins and GitLab CI, integrating automated testing and deployment for global teams.
- Develop Python/Shell scripts for IoT data validation, log analysis, and cross-region backup solutions.
- Design and develop automated tools for deployment, monitoring, and fault recovery using Python/Shell, tailored to IoT and cloud infrastructure needs (e.g., log analysis scripts, backup automation).
### Security & Compliance
- Implement data encryption (TLS) and RBAC policies, ensuring GDPR and USA's Cybersecurity Law compliance.
- Conduct security audits for IoT device management systems and API gateways.
### Cross-Cultural Collaboration
- Coordinate with China-based engineering and business teams to align infrastructure with regional requirements.
## Requirements
### Technical Skills
- 3+ years in cloud operations (AWS preferred) with Million-User Scale platform.
- Proficiency in Linux, Kubernetes, Jenkins, and containerization tools (Docker).
- Strong scripting skills in Python (e.g., automation, RESTful API integration) and Shell.
### Preferred Qualifications
- AWS Certified DevOps Engineer/Solutions Architect.
- Experience with Terraform, Prometheus, Grafana, or big data tools (Athena, Kafka).
- Understanding of IoT protocols (MQTT, H2, WebRtc) and Edge-Cloud Collaboration.
## What We Offer
- Competitive salary with performance bonuses.
- Relocation support and flexible remote work options.
- Health insurance covering international assignments.
- Access to cross-regional training programs (e.g. AWS certification, USA's cybersecurity compliance).
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