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Salary
$88k – $224k per year (Estimated)
Location
Remote (Los Angeles, United States)
Employment
Full-Time
Overview
Company
Impact
Profile match
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.

Company Overview

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.

Key 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.

Benefits

- 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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