> Markdown version of [/jobs/ext/3022325-llamaindex-backend-engineer](https://www.wearedevelopers.com/jobs/ext/3022325-llamaindex-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# LlamaIndex - Backend Engineer

- **Company:** LlamaIndex Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $100,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Databases, Extract Transform Load (ETL), Distributed Computing Environment, Python (Programming Language), Language Modeling, Open Source Technology, Cloud Services, Software Engineering, Data Processing, Scripting, Cloud Platform System, Large Language Models, Backend, Star Schema, Splunk
- **Published:** September 21, 2026
- **Apply:** https://www.careerbuilder.com/job-details/llamaindex-backend-engineer-q1-24-copy-san-francisco-ca--5a6d8c40-f6b2-464b-9332-15873331162f

## About the Role

Qualifications: You have a proven track record of building scalable cloud services that process massive amount of data. This include the full lifecycle of architecting scalable infrastructure, deploying containerized services to cloud providers via infrastructure-as-code. You are an expert at building quickly, but scale as necessary. You should know the in-and-out of building user-facing APIs. Prior experience with ETL / data orchestration / distributed data processing are strongly preferred.
You're also passionate about LLMs and the immense opportunities it offers for developers and end users. You're able to contextualize all backend decisions with the goal of creating an amazing set of tools for developers to use., Application Programming Interface (API), Automation, Business-to-Business (B2B), Cloud Computing, Data Processing, Database Extract Transform and Load (ETL), Modeling Languages, Open Source, Python Programming/Scripting Language, Snowflake Schema, Software Engineering, Splunk

## Description

Responsibilities: You will be responsible for architecting and scaling LlamaIndex's cloud platform. You will work closely with our framework engineering and full-stack engineering team to deliver a top-notch integrated developer experience for building the next-generation of context-aware (i.e. RAG) applications.


## Related Videos

- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Unveiling the Magic: Scaling Large Language Models to Serve Millions](https://www.wearedevelopers.com/videos/1619-unveiling-the-magic-scaling-large-language-models-to-serve-millions)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [20 Essential Tools For Backend Development](https://www.wearedevelopers.com/magazine/218-20-essential-tools-for-backend-development)
- [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)