AI Engineer - Infrastructure

About this role

### About Traversal

Traversal is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.

Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.

### The Role

As an AI Infrastructure Engineer on the Platform / Reliability team, you’ll design, secure, and operate the core systems that power Traversal’s AI products. We already serve Fortune 50 enterprises with multi-tenancy and SOC 2 Type II controls, and we’re rapidly scaling.

You’ll focus on high-concurrency inference, Kafka data pipelines, and agentic tooling (via MCP) — building infrastructure that’s reliable under extreme load. This includes safe concurrency, graceful retries, queue management, autoscaling, observability, and Kubernetes-native scheduling.

This is a senior, high-impact role: you’ll own foundational systems, work across Python, Rust, Kubernetes, and Kafka, and shape how enterprise AI reliability is built and scaled.

### Responsibilities

• **System Design & Architecture:** Design scalable, reliable infrastructure for AI inference, data pipelines, and agentic workflows.
• **Queue & Job Scheduling (K8s-native):** Migrate from Python multiprocessing + Postgres-as-queue to Kubernetes-native queuing and orchestration (K...