> Markdown version of [/jobs/ext/4620751-foundations-engineer-deep-infra](https://www.wearedevelopers.com/jobs/ext/4620751-foundations-engineer-deep-infra). 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). --- # Foundations Engineer (Deep Infra) - **Company:** ROX, INC. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Software Debugging, Distributed Data Store, Distributed Systems, Fault Tolerance, Backend, Agentic-AI, Build Management, Low Latency, Real Time Data - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_4b4401709b10d937c27a2afb1e936843 ## About the Role * distributed data platforms * streaming compute systems * real-time analytics infrastructure * distributed query engines * high-scale backend services Strong intuition for latency, reliability, and scalability tradeoffs. Experience operating systems where real-world traffic exposes edge cases quickly. Comfort debugging complex distributed systems in production. ## Description We are hiring a Foundations Engineer (Deep Infra) to design and operate the systems that power Rox's agent runtime., * real-time data infrastructure * agent orchestration * decisioning systems You will work on infrastructure similar to what powers large-scale data platforms - but optimized for continuous AI decision loops rather than batch analytics. But with a new constraint: AI agents must operate continuously and reliably in production environments. What You'll Do * Design and build core distributed systems powering Rox agents. * Build infrastructure for real-time context ingestion and retrieval. * Develop systems that enable low-latency agent decisioning at scale. * Improve reliability, observability, and fault tolerance across agent infrastructure. * Build execution frameworks that support long-running agent workflows. * Collaborate closely with product engineers and forward deployed engineers to translate infrastructure capabilities into customer impact. * Ship production systems quickly and evolve them based on real-world usage.