Senior Full Stack Software Engineer (Hybrid, Seattle)

Nordstrom•Seattle, WA

1d•$142,000 - $220,500•Hybrid

About The Position

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. At Nordstrom, product data is the backbone of the customer experience — from the moment a product is listed to the moment it ships. The PIM Egress team owns Product Core Service (PCS), the authoritative API and Kafka interface that delivers product data to every corner of the business. PCS is mission-critical infrastructure. It serves 100+ downstream teams — spanning Checkout, Warehouse Management, Data Analytics, and beyond — at 600 requests per second with a 50ms latency target and the reliability those teams depend on to run the business. As a Senior Full Stack Engineer on this team, you'll work at the intersection of scale, reliability, and data integrity — designing and evolving the systems that ensure every team at Nordstrom gets accurate, timely product data when they need it. You'll design, build, and operate services and user interfaces that are central to Nordstrom's product data ecosystem, working across the entire stack — from React-based internal tools used by merchants and data stewards to Java microservices that process millions of product records daily. While this role is Full Stack, the responsibilities tend to lean more toward Backend Engineering. Our UI surfaces are also internal tools built for the people who manage Nordstrom's product data — think operational dashboards, workflow monitors, and admin interfaces that give teams real-time visibility into how millions of items move through our systems.

Requirements

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, or 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.
Programming skills. Proficient in more than one programming language. Experience with agentic development and a perspective on how to get the most from agents during the software development lifecycle.
Strong backend fundamentals. You're comfortable designing and building microservices in Java, working with relational databases (PostgreSQL), and integrating with event-driven architectures (Kafka). Experience with workflow orchestration tools like Temporal is a strong plus.
Modern frontend skills. You've built production React applications with TypeScript. You care about usability, accessibility, and creating tools that people enjoy.
Infrastructure fluency. You're comfortable working with containerized deployments (Docker, Kubernetes), defining infrastructure as code with Terraform, and configuring CI/CD pipelines. You don't need to be a platform engineer, but you can provision what your services need and troubleshoot deployment issues without waiting on someone else.
Distributed systems thinking. You understand the tradeoffs of eventual consistency, can reason about failure modes in a service-oriented architecture, and have data-driven perspectives on topics like idempotency, schema evolution, and data partitioning.
Ownership mentality. You do more than write code — you own outcomes. You think about observability from the start, you write runbooks, and you show up when your systems need you.
Collaborative and communicative. You thrive in cross-functional environments. You can explain a technical tradeoff to a product manager, pair with a junior engineer on a complex problem, and contribute to architectural discussions with clarity and conviction.
Bias toward simplification. You actively seek ways to reduce complexity, remove bottlenecks, and make systems easier to operate and evolve.

Nice To Haves

Experience with workflow orchestration tools like Temporal is a strong plus.

Responsibilities

Build and evolve core platform services. You'll own microservices that power product information management. 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.