# Software Engineer, Cloud at Ollama

Software Engineer, Cloud at Ollama in Palo Alto. On-site, full-time. Posted July 9, 2026.

- Company: Ollama
- Location: Palo Alto
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-07-09
- Apply: https://jobs.ashbyhq.com/ollama/567a71e0-dd66-4af9-8a53-4135c87b06bd/application
- Source: https://jobmagic.ai/jobs/software-engineer-cloud-ollama-26f5sc

## Description

Ollama is the most popular way for developers to access open models. What started as an open-source, local-first runtime is now the largest developer network in the open-model ecosystem: 8.9 million monthly active developers and over 67,000+ community-built integrations. We're backed by Y Combinator, Benchmark, 8VC, and Theory Ventures.
Our team is small and talent dense. We're flat, low-ego, and fast-moving. We like people who are truth-seeking, passionate, design-driven, and who enjoy shipping code.

### About the role

You'll build Ollama’s cloud, a scalable inference platform that lets developers run large, capable open models in their workflow. You'll work on high-throughput, low-latency distributed systems — inference serving, GPU fleet management, routing, metering, and the platform that Pro, Max, Team, and Enterprise customers rely on to process trillions of tokens.

### What you'll do

- Build and scale the inference platform that serves every request from ollama.com.

- Design the routing and capacity layer that places workloads across GPUs and regions for cost, latency, and availability.

- Own multi-tenant infrastructure: isolation, quotas, usage metering, billing, and Pro/Max/team/enterprise tiering.

- Build the reliability, observability, and cost controls for our team and customers

### You may be a fit if

- You have deep experience with high-throughput, low-latency distributed systems — inference serving, traffic routing, real-time data pipelines, or large-scale APIs.

- You're comfortable with cost/performance tradeoffs at scale and have owned a production service end-to-end.

- You've worked with Kubernetes, GPU scheduling, or inference infrastructure.

- You think in terms of reliability, SLOs, and honest capacity planning.

- **Bonus:** experience building an inference platform, GPU fleet management, or billing/metering for an AI service.