Python Ml Developer Jobs in Mount Laurel, NJ (NOW HIRING)

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.

• Ecommerce & Commerce Platform Reliability — 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.
• OMS & Integration Systems — 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.
• CI/CD & Deployment Pipelines — Design and maintain deployment pipelines supporting Java, Node, Python, and more with strong standards around testing, rollback, and release safety.
• Internal Developer Platform — Build the tooling and abstractions that let engineering teams across URBN's brands self-serve infrastructure, standardize deployments, and ship faster without sacrificing reliability.
• Agentic AI Platform Infrastructure — 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.
• AI Enablement for Engineering Teams — 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.
• Observability & Incident Response — 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.
• Security & Compliance Posture — Implement and maintain controls around access governance, secrets management, PII handling, and audit logging across both commerce-critical and AI workloads.
• Cost & Capacity Management — Monitor and optimize cloud spend across ecommerce infrastructure, integration services, and AI inference using autoscaling, rightsizing, and intelligent traffic routing to maximize efficiency.

• 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

Preferred skills:

• 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

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits

URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.