Senior SDET (Mobile-First Full Stack)

What we want to accomplish and why we need you Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!  We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. What will you do every day? Mobile (Primary Focus): Own and evolve the end-to-end mobile test strategy for iOS and Android, ensuring coverage for mobile-specific concerns: offline and poor-network scenarios, background/foreground transitions, audio streaming and capture, permissions, gestures, and device fragmentation. Architect and maintain mobile automation frameworks using Appium (or equivalent), with an emphasis on maintainability, execution speed, and stability on real-device and cloud-device grids. Drive mobile performance, battery, memory, and stress testing across a representative device matrix, and set the quality bar for release readiness. Investigate complex, cross-platform mobile issues — including native/hybrid layer, network, and audio pipeline problems — and drive them to root cause. Web and Backend (Secondary Focus): Extend automation coverage to Suki's web surfaces so a single test strategy spans mobile, web, and service layers rather than three disconnected suites. Design and implement API and service-level automation across REST, gRPC, and GraphQL, including bidirectional streaming and protocol buffers. Build tests for event-driven and asynchronous flows (Kafka or similar) and for the microservices that the mobile client depends on. Contribute to backend performance and load testing (K6, Locust, or similar) so that client-side quality claims hold under production-like load. Craft, Leadership, and AI: Integrate mobile, web, and backend suites into CI/CD pipelines so that signal is fast, trustworthy, and actionable, with meaningful reporting and flake management. Drive the design and code review process for test automation, and prioritise maintenance and tech debt in the frameworks you own. Break complex test engineering work into components that early-career engineers can own, then mentor them through it. A significant share of our team is early in their careers, and your coaching is a core part of the job. Keep strong documentation of how test design and architecture evolve over time. Participate actively in SDET hiring, and in prioritising cross-team automation initiatives. Lead initiatives that apply LLMs and agentic AI to the testing lifecycle — test generation, triage, self-healing locators, and coverage analysis — and help the team assess which tools actually move productivity. Requirements : 7+ years as an SDET or equivalent, with a substantial portion focused on mobile test automation and QA process ownership. Deep expertise in mobile automation: Appium or equivalent, real-device and cloud-device execution, and mobile debugging tools (Xcode Instruments, Android Studio profilers, Charles Proxy, Firebase). Working knowledge of Swift, Kotlin, and Java in an automation context. Demonstrated full-stack testing ability: you have written and owned web UI automation (Playwright, Selenium, or similar) and service-level automation against REST, gRPC, or GraphQL APIs. Proficiency in at least one object-oriented language (Java preferred) and comfort with Python for scripting and data validation. Solid understanding of microservices, cloud platforms (GCP preferred), containers, and CI/CD systems such as Buildkite or Jenkins. A track record of mentoring engineers and leading automation projects to completion. Strong analytical and communication skills, and the self-direction to operate in a fast-moving environment. BA/BS in Computer Science, Information Science, AI/ML, or a related engineering field; MS/PhD a plus. Good to Have: Exposure to AI/ML quality engineering. Any hands-on experience validating AI/ML models, pipelines, or data-drive