---
title: 'Cloud & IoT Service Engineer at Embedding VC'
canonical: 'https://feeny.ai/job/cloud-iot-service-engineer-embedding-vc-los-angeles-mtvjr36tqsmk'
type: 'job'
last_seen: '2026-09-09'
---

# Cloud & IoT Service Engineer at Embedding VC

- **Company:** Embedding VC
- **Location:** Los Angeles, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-01-19
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/c0efa137-a31d-4741-9316-c61e750c0393

## Job description

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).

## About Embedding VC

## Company Overview
- **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries.
- **Entity Type**: Private (Venture Capital Firm)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2023
- **Founders**: Roger Luo (Founder & Managing Partner)

## Core Business
- Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence
- Target customers: Early-stage Generative AI startups (Seed and Series A)
- Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations.

## Products & Services
- **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social.
- **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators.

## Market Standing
- **Valuation/Market Cap**: Not applicable (Venture Capital firm)
- **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months.
- **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures.
- **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026.

## Competitive Advantages
- **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies.
- **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem.
- **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends.

## Strategic Focus
- **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies.
- **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis.
- **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social.

## Why Work Here
- **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership.
- **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position.
- **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself.

## Sources
1. [embedding.vc](https://www.embedding.vc/)
2. [linkedin.com](https://www.linkedin.com/company/embeddingvc)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc)
4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0)
5. [builtin.com](https://builtin.com/company/embedding-vc/teams)

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- [Senior/Staff Software Engineer, Agent](https://feeny.ai/job/senior-staff-software-engineer-agent-embedding-vc-san-francisco-yqmv1e6jkzym) — San Francisco, CA
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