Senior Engineer 2 - Supply Chain Technology

About the role

This position is offered as a hybrid role in the Seattle, WA area. You must be willing to work in the Nordstrom Seattle office for a minimum of 4 days per week to be considered for this position.

Responsibilities

• Demonstrate competence of engineering concepts and theories, combining them with supply chain domain understanding to design, document and implement clean, robust, and scalable solutions to complex business problems.
• Collaborate with other engineering teams, business stakeholders, as well as program and product managers to make technical decisions and influence priorities and tradeoffs that enable solutions to achieve short and long-term supply chain objectives.
• Champion new techniques (like AI/ML tools and automation) to accelerate development and drive operational intelligence across the organization.
• Take ownership of systems or designs that span multiple people’s work—including forecasting models, fulfillment routing, or transportation optimization—breaking work into smaller tasks for more junior engineers to support.
• Maintain a high bar for code quality, testing and automation while finding opportunities to continuously improve them.
• Drive design and code reviews, ensuring the team ships high quality, scalable, maintainable, and well-tested code.
• Maintain a DevOps mindset, promoting cloud-native solutions while implementing and supporting monitoring, alerting, CI/CD pipelines, and the team’s cloud infrastructure.
• Partner with Data Science and analytics teams to operationalize AI/ML models and advanced analytics in production supply chain environments.
• Navigate vendor partnerships and platform ecosystems—including third-party WMS, TMS, or planning tools—to maximize business value and integration quality.

Requirements

• 5+ years of experience in software engineering or technology roles.
• 2+ years of experience in retail, supply chain, logistics, fulfillment, or a related domain (preferred).
• Bachelor’s degree in Computer Science or related field.
• Demonstrated ability to design and deliver complex, distributed systems in a production environment.
• Hands-on experience architecting event-driven systems and Tier 1 services built for high availability and throughput at scale.
• Strong proficiency in Java and the Spring ecosystem (Spring Boot, Spring Framework, Spring Data) for building production-grade microservices and APIs.
• Expertise with event-driven architectures and streaming platforms such as Apache Kafka, with hands-on experience building high-throughput, low-latency pipelines.
• Experience building and operating production services on AWS (e.g., Lambda, RDS, DynamoDB, S3, SQS/SNS) or comparable cloud platforms.
• Strong technical judgment with experience guiding architecture across scalable, cloud-native services.
• Experience with supply chain systems such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), Order Management Systems (OMS), Last Mile Delivery Systems (LMDS), or Supply Chain Planning platform.
• Proven ability to collaborate across Product, Operations, and Data Science stakeholders to translate strategy into executable technical solutions.
• A track record of driving code quality, testing, and engineering best practices across a team.
• Experience working with third-party platforms, vendors, or large technology ecosystems.
• Demonstrated experience building applications powered by large language models or agentic AI frameworks—including prompt engineering, tool use, orchestration patterns, and evaluation strategies (preferred).

Qualifications

• Hands-on experience with agentic frameworks such as LangGraph, AWS Bedrock Agents, or similar orchestration platforms.
• Experience building retrieval-augmented generation (RAG) pipelines using vector databases (e.g., OpenSearch, Pinecone).
• Familiarity with infrastructure-as-code tooling (e.g., Terraform, AWS CDK) and CI/CD pipeline design (e.g., GitHub Actions, Jenkins).
• Familiarity with AI-assisted development tooling and a strong point of view on how agents can accelerate design, coding, and testing workflows.
• Track record of contributing to open-source projects or publishing technical content.

Benefits

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources

Pay

The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.