Senior Full Stack Software Engineer - Catalogs, Hierarchy & OrgMDM; Hybrid - Seattle, WA

Position: Senior Full Stack Software Engineer - Catalogs, Hierarchy & OrgMDM (Hybrid - Seattle, WA)
## Senior Full Stack Software Engineer - Catalogs, Hierarchy & OrgMDM (Hybrid - Seattle, WA)
Apply locations:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition :
R-839920###
** Job Description
** Nordstrom's Product Information Management organization is the backbone of how millions of products are represented, organized, and discovered across every Nordstrom channel — from ,  and the Nordstrom apps to in-store systems and marketplace partner integrations. Within PIM, the
** Catalogs, Hierarchy & Org MDM
** team owns the foundational data structures that make this possible: the product catalogs customers browse, the merchandising hierarchies that power navigation and reporting, and the Organization Master Data Management (MDM) platform that governs how store and organizational entities are maintained across the enterprise.

This is a rare opportunity to work at the intersection of large-scale data architecture and customer-facing impact. Every product page a customer sees, every filter they apply, and every category they navigate depends on the systems you will build and evolve.
** This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position.
**** A day in the life...
** As a Senior Full Stack Software Engineer, you will design, build, and operate services and user interfaces that are central to Nordstrom's product data ecosystem. You will work across the entire stack — from React-based internal tools used by merchants and data stewards to Java microservices that process millions of catalog and hierarchy records daily.
* ** Build and evolve core platform services.
** You'll own microservices that power catalog management, hierarchical classification, and organizational master data. These services integrate with upstream ingestion pipelines (including Kafka-based event streaming and Temporal workflow orchestration) and serve downstream consumers across the company.
* ** Design delightful internal tools.
** Merchants, buyers, and data stewards rely on the UIs your team builds to manage catalogs, assign hierarchy nodes, and govern organizational entities. You'll create React-based applications that make complex data operations intuitive and efficient.
* ** Drive data quality at scale.
** You'll build validation, canonicalization, and entity resolution capabilities that ensure data consistency across Nordstrom's product ecosystem — spanning wholesale, marketplace, and direct-to-consumer channels.
* ** Own what you ship.
** You'll participate in on-call rotations, build observability into every service (New Relic, structured logging, custom dashboards), and drive operational excellence through runbooks, alerting, and incident response.
* ** Influence technical direction.
** You'll contribute to architecture decisions, participate in design reviews, and mentor engineers on the team. Your designs will consider upstream and downstream integration points and balance short-term delivery with long-term platform health.
** Technology stack...**
* ** Backend:
** Java, Spring Boot, REST APIs, Kafka (event streaming and CDC), Temporal.io (workflow orchestration), Postgre

SQL, Dynamo

DB, Redis
* ** Frontend:
** React, Type Script, modern component libraries, responsive design
* ** Infrastructure & Cloud:
** AWS (ECS/EKS, Lambda, S3, RDS, MSK), Terraform, Git Hub Actions CI/CD
* ** Data & Integration:
** Kafka topics (Avro schemas), REST and gRPC service-to-service communication, batch and real-time data pipelines
* ** Observability:
** New Relic (APM, dashboards, alerting), structured logging, distributed tracing
** You own this if you have...**
* ** 7+ years of professional software engineering experience**, including significant delivery of  both backend services and frontend applications.
* ** Bachelor’s or Master’s degree in Computer Science, Information Systems Engineering, Data Engineering.**
* ** Communication Skills.
** Strong verbal, written and diagramming communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
* **…