URBN Senior DevOps Engineer

URBN•Philadelphia, PA

About The Position

URBN is hiring a Senior DevOps Engineer who will own and evolve the platform layer that keeps our ecommerce sites, order management systems, and integration pipelines running at scale while helping the organization take its next leap forward with enterprise AI and agentic automation. This role spans the full platform spectrum from ensuring high availability of customer-facing commerce systems to building the infrastructure that lets AI agents and internal tools operate safely and reliably. You'll partner with engineering teams across brands and functions, translating ambiguous problems into stable, scalable systems.

Requirements

5+ years in DevOps, Platform Engineering, or SRE roles
Deep expertise with Kubernetes (EKS, GKE, or AKS) in production
Infrastructure-as-Code: Terraform
Cloud-native architecture on AWS, GCP, or Azure
CI/CD tooling: GitHub Actions, ArgoCD, Tekton, or equivalent
Strong scripting/automation in Python or Go
Observability stack experience: OpenTelemetry, Prometheus, Grafana, or New Relic
Demonstrated experience shipping and operating production ML or AI systems

Nice To Haves

Hands-on experience with LLM APIs (Anthropic, OpenAI, or AWS Bedrock)
MCP (Model Context Protocol) server development or deployment experience
Vector database operations: Pinecone, Weaviate, Qdrant, or pgvector
Experience building platforms at enterprise scale (1,000+ internal users)
Developer experience (DX) engineering background
Security certifications: CKS, CISSP, CCSP are a plus

Responsibilities

Support and evolve the infrastructure behind URBN's ecommerce sites, ensuring high availability, performance, and resilience during peak traffic events like launches and promotional campaigns.
Operate and improve the infrastructure supporting our Order Management System (OMS) and the integration layer connecting commerce, fulfillment, ERP, and third-party services. Build for reliability, observability, and graceful failure.
Design and maintain deployment pipelines supporting Java, Node, Python, and more with strong standards around testing, rollback, and release safety.
Build the tooling and abstractions that let engineering teams across URBN's brands self-serve infrastructure, standardize deployments, and ship faster without sacrificing reliability.
Architect and operate the platform layer for URBN's enterprise AI initiatives including LLM orchestration, MCP server deployments, and agent execution runtimes with an eye toward security and cost efficiency.
Partner with product and data teams to build infrastructure that makes AI capabilities accessible across the organization: RAG pipelines, vector search, embedding services, and API gateways for AI tools.
Own the observability stack across commerce and AI systems including distributed tracing, metrics, alerting, and on-call support so teams can detect and resolve issues quickly at any layer.
Implement and maintain controls around access governance, secrets management, PII handling, and audit logging across both commerce-critical and AI workloads.
Monitor and optimize cloud spend across ecommerce infrastructure, integration services, and AI inference using autoscaling, rightsizing, and intelligent traffic routing to maximize efficiency.