Cloud & IoT Service Engineer

ONE STOP COLLECTIBLE CORP

Los Angeles, CA, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Amazon Web Services Automation of Tests Backup Devices Cloud Computing Cyber Security Linux DevOps Python (Programming Language) Log Analysis Message Queuing Telemetry Transport (MQTT) Role-Based Access Control Prometheus

+20 more

Shell Script Data Streaming Systems Integration Cloud Collaboration WebRTC Scripting System Availability Grafana HybridCloud Backend Containerization Gitlab-ci Kubernetes Apache Kafka Data Management Api Gateway Restful APIs Terraform Docker Jenkins

Job description

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.