Rox Data
Foundations Engineer (Platform Hybrid, SF in office)
3w ago
USAdistributed systemsreal-time data processingplatform toolingdeveloper infrastructurecloud infrastructureobservability
Platform Engineer responsible for building infrastructure and platform systems powering AI-native revenue operating system agents.
Responsibilities
- We are hiring a Platform Engineer to help design, build, and operate the infrastructure and internal platform behind Rox’s agent runtime.
- This role sits at the intersection of:
- Platform engineering
- Cloud infrastructure
- Distributed systems
- Real-time data infrastructure
- Agent orchestration
- Developer productivity
- You will work across both foundational infrastructure and the developer platform experience — helping teams ship quickly while ensuring systems remain reliable, scalable, and observable in production.
- This is a strong fit for engineers who enjoy owning systems end-to-end: from infrastructure primitives and runtime reliability to deployment workflows, tooling, and operational excellence.
Other
- Rox is building the AI-native revenue operating system.
- Most enterprise software was built for humans operating dashboards. Rox is built for agents operating systems.
- Instead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise.
- Agents analyze signals, reason about them, and take action — automatically.
- To make that possible, we are building infrastructure that combines elements of:
- Distributed data platforms
- Real-time decision systems
- Agent execution frameworks
- Low-latency context retrieval
- Platform tooling and developer infrastructure
- We’re backed by Sequoia, GV, and General Catalyst and building a small team of engineers who want to work on hard technical systems problems with real-world impact.
- The Foundations team builds the platform and infrastructure powering Rox agents.
- We own the systems responsible for:
- Real-time context ingestion
- Agent execution and orchestration
- Reliability for long-horizon AI tasks
- Developer infrastructure and platform tooling
- Observability and operational excellence
- Low-latency decisioning across distributed systems
- If you’ve worked on systems like:
- Internal developer platforms
- Cloud infrastructure and platform tooling
- Streaming compute platforms
- Distributed query engines
- Real-time data systems
- Scalable backend infrastructure
- many of the problems here will feel familiar — but applied to a new category of AI-native software.
- At Rox, agents are constantly:
- Retrieving context
- Making decisions
- Triggering actions
- Updating state
- The Foundations team builds the infrastructure and platform capabilities that make those loops reliable, observable, scalable, and easy for product teams to build on.
- Design and build core infrastructure powering Rox agents.
- Improve the reliability, scalability, and observability of distributed systems.
- Build and maintain cloud infrastructure, deployment systems, and platform tooling.
- Develop systems for real-time context ingestion and low-latency retrieval.
- Support execution frameworks for long-running agent workflows.
- Improve developer experience through automation, tooling, and self-service infrastructure.
- Partner closely with product engineers and forward deployed engineers to enable rapid iteration in production environments.
- Help establish engineering standards around monitoring, incident response, performance, and operational maturity.
- Ship production systems quickly and evolve them based on real-world usage.
- Experience building and operating production infrastructure and backend systems.
- Strong experience in cloud infrastructure, platform engineering, or distributed backend systems.
- Familiarity with areas such as: Kubernetes and container orchestration
- Cloud infrastructure (AWS/GCP)
- CI/CD and developer platforms
- Distributed systems and event-driven architectures
- Observability and reliability engineering
- Real-time data or streaming systems
- Strong intuition for reliability, scalability, latency, and operational tradeoffs.
- Comfort debugging production systems and solving problems across infrastructure and application layers.
- A bias toward shipping, learning from production, and continuously improving systems.
- Ability to work across both platform and infrastructure domains depending on company priorities.
- Rox is building a new category of software where AI agents continuously reason, decide, and act in production environments.
- That requires infrastructure and platform systems that look different from traditional SaaS architectures.
- You’ll help build the foundation that enables engineers — and eventually agents themselves — to operate reliably at scale.