Staff Software Engineer, Linus Health

• 10+ years of software engineering experience with significant time in mobile; 5+ years building and shipping iOS apps in Swift; 3+ years with React Native at scale
• Expert in Swift/SwiftUI (and/or UIKit), Xcode tooling, Instruments, and Apple platform fundamentals (background tasks, permissions, Keychain, App Store Connect, TestFlight)
• Strong React Native fundamentals (bridge/native modules, performance profiling, Hermes, Metro/bundling, OTA, navigation)
• Proven track record designing reusable component systems (design tokens, accessibility, theming, API ergonomics, documentation)
• Hands-on experience using AI to accelerate coding (scaffold code/tests, refactors, docs) and productizing AI in-app (safe prompts, evaluation, guardrails)
• Depth in mobile data flows (REST/gRPC, GraphQL, streaming), offline-first sync, error handling, and app state management
• Quality mindset: unit/UI/e2e testing (XCTest, snapshot testing, Detox), monitoring, crash analytics, metrics/SLOs
• Security and privacy literacy suitable for healthcare contexts (e.g., PII/PHI handling patterns, least-privilege, secure storage)
• Clear technical communication: design docs, ADRs, tradeoff analysis, and stakeholder alignments

Desirable

• We’re looking for a Staff Software Engineer to lead our mobile apps across iOS (Swift) and React Native. You’ll set technical direction, design and build reusable component libraries, and raise the bar on quality, performance, and accessibility
• You’ll also champion AI-assisted engineering—both to accelerate development (e.g., code generation, testing, refactors, documentation) and to integrate AI-powered visualizations that help clinicians and patients make sense of complex brain-health data. This role is highly cross-functional and pivotal to our mission
• Own the mobile architecture across iOS (Swift/SwiftUI/UIKit) and React Native—modularity, performance, security, and observability
• Create and maintain reusable mobile component libraries (design-system alignment, theming, accessibility, localization, dark mode)
• Ship AI-enabled features that surface insights visually (charts/plots/progressions) and responsibly—privacy-by-design, auditable outputs
• Raise engineering standards: testing (unit/snapshot/e2e), CI/CD for mobile, OTA strategies, release automation, crash analytics, and telemetry
• Mentor and unblock engineers; drive clear design docs, ADRs, and code reviews; partner deeply with Product, Design, Data Science/Medical, and Security
• Lead cross-team initiatives (performance, reliability, offline/edge patterns, network/data sync, app startup time, bundle size reduction)
• Champion AI-assisted workflows to boost delivery speed and quality (intentional prompts, verification practices, secure usage guidelines)
• Collaborate with Data Science/Medical to integrate model outputs safely and clearly into the UI, including uncertainty and context visualization