Senior DevOps Engineer

URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

Senior DevOps Engineer at URBN managing the platform layer for ecommerce sites and AI initiatives. Ensuring high availability, performance, and resilience for commerce operations.

Posted 6/4/2026full-timePhiladelphia • 🇺🇸 United StatesSeniorWebsite

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Hard Skills

KubernetesTerraformAWSGCPAzurePythonGoOpenTelemetryPrometheusGrafana

Soft Skills

collaborationproblem-solvingcommunicationleadershiporganizational skills

Tools & Technologies

GitHub ActionsArgoCDTektonLLM APIsMCP serverPineconeWeaviateQdrantpgvectorobservability stack

Certifications & Qualifications

CKSCISSPCCSP

Industry Keywords

DevOpsPlatform EngineeringSREInfrastructure-as-Codecloud-native architectureCI/CDAI systemsML systemsenterprise scaleaccess governance

Tech Stack

Tools & technologies

AWSAzureCloudERPGoGoogle Cloud PlatformGrafanaJavaKubernetesNode.jsPrometheusPythonTerraform

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

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

Benefits

Comp & perks

medical
dental
vision
PTO
generous employee discounts
retirement savings and much more