Senior Engineer - Loyalty Technology

Nordstrom•Seattle, WA

1d•$142,000 - $220,500

About The Position

The Loyalty Technology team builds the platform that makes earning, tracking, and redemption work seamlessly across every channel, at scale. We own the services and APIs that power the loyalty experience end to end, from awarding and tiering to redemption and rewards lookup, including the services that customers and store associates rely on to get accurate loyalty information in the moment. We’re looking for a Senior Engineer who can design and deliver solutions that solve complex business problems and span the work of multiple engineers. In this role, you will improve service quality across the team, make technical decisions that align with Nordstrom engineering standards, mentor engineers, and support incident resolution for complex production issues across our loyalty platform.

Requirements

6+ years of professional software engineering experience in a relevant practice area.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
Experience analyzing, designing, coding, testing, installing, and maintaining complex software programs.
Strong knowledge of Java and the Java Spring Boot framework.
Strong grasp of multiple technology stacks, including APIs, services, data stores, cloud infrastructure, and operational tooling.
Experience with RESTful services, event-driven applications, and Kafka or similar event-streaming platforms.
Experience with AWS or GCP services and cloud-native application development.
Sound object-oriented design skills and knowledge of application design patterns.
Experience working with diverse, collaborative, cross-functional teams across business, product, infrastructure, security, and engineering functions.
Strong verbal and written communication skills, including the ability to communicate technical information clearly to nontechnical audiences.
Hands-on experience using AI tools in real engineering work, with the judgment to know when to lean on them and the discipline to verify what they produce.

Nice To Haves

Experience with Python, React, JavaScript, C#, or similar technologies.
Familiarity with Kubernetes, Docker, CI/CD, automated testing, and agile delivery practices such as Scrum, Kanban, or Lean.
Experience building metrics into systems and providing visibility into uptime, performance, reliability, and customer impact through real-time alerting, reporting, and dashboards.
Prior experience with loyalty, rewards, or points-based programs, or with third-party loyalty/promotions platforms.
Curiosity and drive to push AI-native ways of working — automation, new tools, and operational excellence — and to help others adopt them.

Responsibilities

Lead technical strategy and solution design for Loyalty Technology, ensuring solutions are scalable, reliable, secure, and aligned with business priorities across the loyalty platform.
Own solutions that span multiple services and engineering workstreams, translating business, stakeholder, and technical requirements into simple, modular, and extensible designs.
Lead design and code reviews to ensure quality, maintainability, extensibility, testability, and operational readiness of feature code.
Apply, enforce, and improve Nordstrom engineering and security standards while contributing to the engineering community of practice.
Design, build, and maintain high-performing services, APIs, and reusable components that support core loyalty capabilities, including earning, awarding, tiering, redemption, and rewards lookup.
Improve reliability, performance, scalability, availability, observability, and security across test, integration, and production environments for loyalty services, including event-driven, Kafka-based pipelines.
Plan and implement application enhancements, integrations, and reconfigurations — including integrations with our loyalty vendor and other third-party loyalty or promotions platforms — that improve functionality, resiliency, and usability.
Build and improve automated tests, CI/CD practices, deployment procedures, and release processes that increase delivery confidence for loyalty services.
Analyze defects, system performance, and operational bottlenecks across the loyalty platform to prevent recurrence and improve overall system stability.
Work AI-native by default across design, prototyping, coding, testing, debugging, and incident response — using AI tools to explore more solution paths and accelerate delivery, while framing problems and supplying the domain context that makes AI genuinely useful on complex loyalty work.
Exercise strong engineering judgment over AI-generated output, taking full accountability for the correctness, security, performance, and maintainability of what ships, and favoring rapid prototyping and hands-on validation over heavyweight documentation.
Help mature the team’s AI-native practices and mentor others on effective, responsible AI use — evaluating tools and workflows, sharing patterns that raise the whole squad’s leverage, and knowing when to rely on AI versus hands-on judgment.
Maintain a strong customer mindset for engineering partners and business users, balancing delivery needs with long-term maintainability and operational excellence.
Participate in 24x7 on-call support and incident resolution for complex production issues impacting the loyalty program.
Mentor engineers across a wide spectrum of technical activities and participate in interviews for individual contributor roles by providing clear, specific feedback.
Lead by example through hands-on design, prototyping, coding, testing, and delivery of high-quality solutions.