Lead Software Development Engineer

<div class="content-intro"><p><strong><span style="text-decoration: underline;"><strong data-stringify-type="bold">Immigration / Work Authorization Notice:</strong></span><strong data-stringify-type="bold"> </strong></strong>Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.</p> <p>iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.</p></div><h3>What You’ll Be Part Of:</h3> <p>You’ll join a high-impact engineering organization building the foundational technology that powers our entire product suite. As a Full-Stack Engineer, you are central to our <strong>Creative, Audience, and Outcomes pillars</strong>. Your mission is to be a force multiplier: you won't just write code; you will architect AI-augmented workflows that bridge the gap between visionary UI and robust, high-throughput data pipelines. Whether you are leveraging LLMs to accelerate frontend prototyping or building self-healing backend systems, your work directly impacts how we create, who we reach, and the tangible results we deliver.</p> <h3>Responsibilities:</h3> <ul> <li><strong>AI-First Development:</strong> Lead the adoption of AI-augmented development environments (e.g., Kiro, Cursor, Copilot) to accelerate the entire lifecycle, from rapid UI prototyping in <strong>React</strong> to optimizing complex backend logic.</li> <li><strong>Full-Stack Orchestration:</strong> Design and implement extensible features that unify sleek user experiences with resilient backend services and low-latency data pipelines.</li> <li><strong>Intelligent Data Pipelines:</strong> Author and maintain scalable pipelines (streaming/batch) that incorporate AI-driven transformations, anomaly detection, and automated scaling to ensure data integrity from source to screen.</li> <li><strong>Technical Leadership &amp; Mentorship:</strong> Serve as the go-to expert for full-stack patterns and AI literacy, coaching the team on prompt engineering, automated refactoring, and the ethical integration of AI into production code.</li> <li><strong>Quality &amp; Observability:</strong> Drive a "shift-left" testing strategy using AI to generate comprehensive test suites (Jest, Cypress, Integration) and build AI-driven monitoring to predict and mitigate system failures.</li> <li><strong>Cross-Functional Collaboration: