The RoleAs an AI Engineer - Cloud Infrastructure on Traversal's Infrastructure team, you'll design, secure, and operate the core systems that power Traversal's AI products. We already serve Fortune 50 enterprises with large-scale, multi-tenant environments, BYOC deployments, and SOC 2 Type II controls, and we're rapidly scaling.
You'll focus on the building blocks of our Terraform-defined infrastructure and Kubernetes environments, while supporting the complex needs of operating the highly-available, highly-resilient, and cost-efficient platform that supports the Traversal AI SRE agent.
This is a senior, high-impact role: you'll own foundational systems, work across AWS-native infrastructure, cloud networking, Kubernetes environments, Terraform, Helm, Python, and more, shaping how enterprise AI reliability is built and scaled.
Responsibilities- System Design & Architecture: Design scalable, reliable infrastructure for AI workloads, inference, data pipelines, and agentic workflows
- CI/CD: Build and deliver best-in-class developer experience and software development lifecycle tooling for our growing engineering team
- Autoscaling: Scale on real signals (queue lag, in-flight requests, latency); add burst capacity and safe drains
- Infrastructure as Code: Evolve Terraform+Helm for multi-environment deployments, secrets, policy-as-code, and workload identity
- Observability: Build and deliver end-to-end visibility into our infrastructure, systems, and applications, and connect it to Traversal's AI SRE agent for self-driving production
- Security: Partner with our cloud security lead to improve Traversal's security and compliance posture, implementing least privilege principles, JIT access workflows, default-deny egress, auditability, and policy-as-code
Requirements- 7+ years of experience at technically rigorous companies or teams
- Proven experience operating cloud and Kubernetes native infrastructure and applications at scale with >99.9% availability
- Demonstrated hands-on experience with AWS, EKS, Terraform, Helm
- Experience designing idempotent systems (outbox, dedupe keys, safe replay)
- Incident response, chaos testing, capacity planning
- Strong debugging skills across infrastructure, compute, network, runtime, storage, and auth layers
Nice to Have- Service mesh (Envoy/Istio), Cilium/eBPF
- GPU workload operations, inference servers, token streaming gateways
- Production experience building and maintaining systems in Python, Rust, and TypeScript
- Data governance (PII discovery/redaction), lineage, tokenization
- Experience designing, implementing, and deploying cross-region active/active architectures
- Familiarity with other cloud providers (GCP, Azure, Oracle Cloud)
CompensationWe offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $175,000-$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.
