Software Development Engineer in Test (SDET) - Immigration AI

Role overview

A senior Software Development Engineer in Test is needed to drive quality for an Immigration AI platform used by immigration practices to prepare and manage client cases. This is a backend-leaning, tooling-heavy role focused on solving hard testing problems across systems that resist conventional UI-driven automation, including asynchronous and event-driven services.

Responsibilities

- Own end-to-end quality by designing test plans, writing test cases, and setting up test environments for both backend services and customer-facing applications - Build and extend automated test frameworks across unit, integration, and UI layers, including custom tooling and harnesses for systems without traditional UIs - Validate REST web services and exercise backend-heavy services using techniques such as stubbing, mocking, and synthetic data generation - Perform expert code reviews, mentor junior engineers, and raise the team's overall quality bar through leadership and technical judgment - Apply stress and load testing tools to analyze scalability, performance, and efficiency of the testing pipeline - Communicate findings, usability concerns, and recommended changes clearly to engineering and management audiences - Leverage generative AI and large language models to improve engineering productivity, automate test generation, and surface analysis insights

Requirements

- 8+ years of experience as a software engineer or test automation engineer - Expert-level proficiency in an object-oriented language such as C# or Java - Complete understanding of the application development lifecycle and the software testing lifecycle - Demonstrated expertise testing REST web services and backend-heavy services with little or no UI surface - Ability to design custom test tooling and harnesses for asynchronous and event-driven systems - Experience with stress and load testing tools and techniques - Expert understanding of stubbing, mocking, source control systems, and CI/CD pipelines - Practical experience applying generative AI or large language models to testing and engineering productivity problems - Bachelor's or Master's degree in computer science or a related field, comparable certifications, or equivalent direct work experience

Nice to have

- Experience integrating AI-driven analysis into test pipelines to detect regressions or generate cases from production behavior

Benefits and work setup

- Base salary range of $175,000 to $200,000, with pay equity considerations across locations - Comprehensive benefits package including medical, dental, and vision insurance for full-time employees - Maternity and paternity leave, plus short- and long-term disability coverage - Paid time off policy - Hybrid or onsite work expectation of 2-3 days per week in the office, based out of San Francisco, Chicago, Salt Lake City, or New York metro areas