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Senior Staff Software Engineer, Marketing Technology

LinkedIn Gusto Greater Seattle Area
Not Applicable Posted March 14, 2026 2 variants Job link
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Requirements
  • 8+ years of experience building high-scale web systems, with strong fundamentals across both frontend and backend layers.
  • Strong full-stack engineering capability.
  • You are comfortable designing APIs, modeling data, and reasoning about backend services, while being especially strong on the frontend.
  • Deep frontend expertise in React, TypeScript, and Next.js, including rendering strategies (SSR, SSG, ISR), performance optimization, and component architecture.
  • Systems-level thinking.
  • You can design distributed systems, reason about failure modes, articulate trade-offs, and communicate architectural decisions clearly in writing and in review.
  • Experience applying AI tools to accelerate frontend development, improve code quality, and build intelligent user experiences.
  • Familiar with AI-driven personalization patterns and willing to experiment with AI techniques.
  • Experience with web performance and caching.
  • CDNs, edge computing, cache invalidation strategies, and how these interact with dynamic personalization.
  • A high technical bar, you write testable, observable, production-grade code and hold that standard for those around you.
  • Strong written communication. you can produce technical designs, ADRs, and proposals that serve both engineers and non-technical stakeholders.
  • A balance of pragmatic execution for immediate business needs and long-term architectural thinking to build a scalable, intelligent platform.
Preferred Skills
  • Experience in growth engineering, product engineering, or platform engineering where you have had to balance technical quality with business outcomes.
  • Hands-on experience with ML/AI integration.
  • Personalization engines, recommendation systems, or predictive models embedded in production systems.
  • Familiarity with content delivery infrastructure.
  • Headless CMS, dynamic rendering pipelines, or experimentation frameworks.
  • Experience with event-driven architectures or data pipelines used to feed AI/ML models or power real-time personalization.
  • Experience with customer data platforms or behavioral analytics infrastructure.