Sr. Engineering Manager - Retail Hub

Nordstrom•Seattle, WA

About The Position

Sr. Engineering Managers within our Technology organization play a pivotal role in creating an inspiring workplace where talented professionals are empowered to deliver outstanding digital experiences and business results. As the Sr. Engineering Manager for Retail Hub, you will lead a team of full-stack engineers responsible for one of Nordstrom’s key merchandising platforms – a modern micro-frontend (MFE) and backend-for-frontend (BFF) platform that powers the internal tools and experiences merchandising teams rely on every day. Retail Hub is where business users across Merchandising, Inventory, Supply Chain & Operations come to manage critical workflows, and leading its platform evolution is both a high-impact challenge and a tremendous opportunity. The Sr. Engineering Manager for Retail Hub is responsible for leading the development, modernization, and operational excellence of a full-stack platform built on the MFE/BFF pattern. Retail Hub delivers composable, independently deployable frontend modules backed by purpose-built BFF services that aggregate and orchestrate data from upstream merchandising systems. You will partner closely with business stakeholders across Merchandising, Planning, and Store Operations to deliver performant, intuitive user experiences while evolving the platform’s architecture to support growing business complexity. You will manage a team of senior full-stack engineers and technical leads who set the quality bar for the broader Merchandising Platform Engineering organization.

Requirements

8+ years of relevant work experience in software engineering, with strong full-stack depth across modern frontend frameworks and backend service development.
4+ years of experience managing engineering teams, with demonstrated ability to lead senior/staff-level engineers and technical leads.
Hands-on experience building and scaling platforms using the micro-frontend (MFE) and/or backend-for-frontend (BFF) architectural pattern.
Deep proficiency in modern frontend technologies (React, TypeScript) and experience with module federation, shared component libraries, or similar composition strategies.
Experience designing and operating BFF services that aggregate data from multiple upstream APIs, with a strong understanding of API design, data orchestration, and service boundaries.
A track record of owning and evolving complex, business-critical internal platforms in a large enterprise environment.
Strong product sense – the ability to quickly ramp up on complex business domains and become a trusted strategic partner to Product, Merchandising, and business stakeholders.
Proven ability to manage competing priorities across platform modernization, new feature delivery, and operational reliability.
Strong communication skills – able to bridge technical complexity and business needs across audiences ranging from individual contributors to senior directors.
Deep understanding of DevOps best practices including CI/CD, frontend and backend observability, alerting, and production support.
Experience with agile delivery methodologies such as Scrum or Kanban.
BA/BS in Computer Science or a closely related field, or equivalent practical experience.

Nice To Haves

Experience building internal tools or enterprise workflow platforms that serve non-technical business users.
Familiarity with design system adoption and frontend platform governance at scale.
Exposure to retail merchandising operations or similar complex business domains.
Experience with event-driven architectures and messaging platforms (e.g., Kafka) in the context of real-time UI updates or data synchronization.
Background in developer experience (DX) tooling – scaffolding, local development environments, shared CI/CD pipelines for independently deployable modules.
Experience modernizing legacy frontends or migrating monolithic UIs to micro-frontend architectures in a large enterprise environment.
Experience with AI-assisted coding tools and workflows (e.g., Claude, GitHub Copilot) to accelerate development, improve code quality, and enhance engineering productivity.

Responsibilities

Lead and manage a team of full-stack engineers responsible for Retail Hub – a composable platform built on the micro-frontend and backend-for-frontend pattern that serves as the primary interface for merchandising business users.
Own the platform’s technical roadmap, balancing new feature delivery with MFE/BFF architecture evolution, developer experience improvements, and operational resilience.
Collaborate deeply with Merchandising and cross-functional partners to translate complex business workflows into performant, intuitive user experiences.
Drive the design and evolution of BFF services that aggregate, transform, and orchestrate data from upstream systems – ensuring clean API contracts, efficient data fetching, and clear separation of concerns between frontend and backend layers.
Champion frontend architecture standards including module federation, shared component libraries, consistent design system adoption, and independently deployable MFE modules.
Drive alignment across the broader Merchandising Platform Engineering organization, managing dependencies with upstream domain teams including ItemHub, Vendor Data, Selling Controls, and Marketplace.
Partner with Product Management to define and track KPIs, OKRs, and delivery milestones – ensuring technical investments map directly to business outcomes and user productivity.
Lead operational excellence practices including performance monitoring, frontend observability, error budgets, production support rotations, and proactive reliability improvements.
Recruit, develop, coach, and retain top full-stack engineering talent – building a high-performing team culture grounded in ownership, craftsmanship, and continuous learning.
Contribute to architecture reviews, system design, test strategy, deployment planning, and production operations to ensure excellence in execution.
Promote continuous improvement by quantifying user impact, eliminating waste, increasing engineering productivity, and shortening feedback loops.
Champion an AI-first approach to software development – embedding AI-assisted coding, code review, testing, and delivery practices into the team’s everyday workflow to accelerate velocity and raise the quality bar.