iOS Engineer

Scadea
New Jersey
iOS Engineer
Location: NJ/NY or Chicago - 3-4 days a week onsite is mandatory
Length: 6-10 months

This role requires an onsite interview.

iOS Engineer

• Candidates should be comfortable with AI tools to assist development and day-to-day efficiency
• Design, build, and maintain a robust, scalable multi-module iOS codebase in Swift and SwiftUI, with clean module boundaries and clear separation of concerns
• Collaborate with Product, UX, Design, and backend teams to translate requirements into polished user experiences and a consistent design system with scalable token architecture
• Build and maintain a component library in SwiftUI with a scalable design token system, custom theming via reusable UI primitives
• Apply architectural patterns (MVVM, Clean Architecture etc.) to ensure a principled, testable, and maintainable codebase
• Build local orchestration engines using BGTaskScheduler, Swift Concurrency (async/await, actors), and Combine for background task execution and long-running task architectures
• Design and maintain battery-optimized background location tracking and geofencing using Core Location, CLLocationManager, and significant-change monitoring
• Implement feature flag infrastructure (Firebase Remote Config, LaunchDarkly, etc.) for controlled rollouts, A/B testing, and instant rollback
• Integrate and maintain analytics pipelines (Firebase Analytics, Mixpanel etc) for event tracking, funnel analysis, and user behavior instrumentation; define and enforce event taxonomies and schema governance in collaboration with Product and Data teams
• Implement accessibility standards (WCAG 2.1 AA, VoiceOver, Dynamic Type, minimum touch target sizing) across the UI layer; partner with Design to bake accessibility into the component system from the ground up
• Shape CI/CD pipelines (Xcode Cloud, GitHub Actions, Fastlane) with automated quality gates and performance regression suites
• Instrument apps with APM tooling (Firebase Performance, New Relic, MetricKit) for frame rendering, network profiling, and memory/CPU health monitoring
• Leverage AI coding tools (Claude, GitHub Copilot) and agentic workflows to accelerate delivery and reduce repetitive engineering tasks
• Mentor junior and mid-level engineers on iOS development and AI-assisted workflows
Posted 2026-07-06

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