URBN Senior DevOps Engineer

Job summary

URBN is hiring a Senior DevOps Engineer to own and evolve the platform layer for ecommerce sites, order management systems, and integration pipelines. This role involves ensuring high availability of customer-facing systems and building infrastructure for enterprise AI and agentic automation. The engineer will partner with engineering teams to translate ambiguous problems into stable, scalable systems.

Benefits

Qualifications

• 5+ years in DevOps, Platform Engineering, or SRE roles.
• Deep expertise with Kubernetes (EKS, GKE, or AKS) in production.
• Experience with Infrastructure-as-Code using Terraform.
• Experience with cloud-native architecture on AWS, GCP, or Azure.
• Experience with CI/CD tooling such as GitHub Actions, ArgoCD, or Tekton.
• Strong scripting and automation skills in Python or Go.
• Experience with observability stacks like OpenTelemetry, Prometheus, Grafana, or New Relic.
• Demonstrated experience shipping and operating production ML or AI systems.
• Hands-on experience with LLM APIs (Anthropic, OpenAI, or AWS Bedrock) is preferred.
• MCP (Model Context Protocol) server development or deployment experience is preferred.
• Experience with vector database operations (Pinecone, Weaviate, Qdrant, or pgvector) is preferred.
• Experience building platforms at enterprise scale (1,000+ internal users) is preferred.
• Developer experience (DX) engineering background is preferred.

Responsibilities

• Support and evolve infrastructure for ecommerce sites, ensuring high availability, performance, and resilience during peak traffic events.
• Operate and improve infrastructure for Order Management System (OMS) and integration layers connecting commerce, fulfillment, ERP, and third-party services.
• Design and maintain deployment pipelines for Java, Node, and Python with standards for testing, rollback, and release safety.
• Build tooling and abstractions for engineering teams to self-serve infrastructure, standardize deployments, and ship faster.
• Architect and operate the platform layer for enterprise AI initiatives, including LLM orchestration, MCP server deployments, and agent execution runtimes, with a focus on security and cost efficiency.
• Partner with product and data teams to build infrastructure making AI capabilities accessible, including RAG pipelines, vector search, embedding services, and API gateways.
• Own the observability stack across commerce and AI systems, including distributed tracing, metrics, alerting, and on-call support.
• Implement and maintain controls for access governance, secrets management, PII handling, and audit logging across 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.

Skills

Certifications

Languages

Relocation