Software Engineer II

Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.

• Data driven: Data decides, not egos
• Courageous: We take risks and challenge the status quo
• Innovative: We're constantly learning, creating, and adapting
• Lean: We focus on customers, using lean testing to learn how to serve them best
• Humble: Past success is not a guarantee of future success

We’re looking for an iOS engineer who loves building high-performance, scalable apps and knows Swift inside and out. You’ll design and ship polished UI/UX, own end-to-end delivery, and collaborate across product, Android, backend, and analytics to drive impact.

• →Build, debug, and ship high-quality iOS features and apps end-to-end.
• →Implement modern iOS UI with UIKit and SwiftUI, including animations, transitions, CALayer/CAAnimation.
• →Apply and advocate for solid architectures (MVP, MVVM, VIPER), choosing the right approach for the job.
• →Drive quality with automated tests (unit, integration, E2E) and CI/CD pipelines.
• →Own multi-environment builds, config injection, and App Store releases.
• →Implement push notifications, deep linking, and platform best practices.
• →Boost development speed and quality using AI for coding, refactoring, debugging, test generation, and automating repetitive tasks.
• →Strengthen collaboration and innovation with AI-driven requirement summaries, Android–iOS logic translation, and insights that enhance UX, analytics, and performance.
• →Translate product UX mocks into performant, maintainable code; estimate and propose pragmatic solutions.
• →Collaborate with Android to ensure feature parity and translate Android/Kotlin logic to iOS where needed.
• →Participate in code reviews, mentor teammates, and improve engineering processes and tooling.
• →Contribute to analytics and A/B testing in high-traffic production environments.

• 3+ years of professional iOS development in Swift language.
• Deep knowledge of UIKit, SwiftUI, iOS UI architecture, animations, and performance tuning.
• Strong grasp of MVP/MVVM/VIPER and their tradeoffs.
• Proven experience with App Store releases, multi-environment builds, and config injection.
• Solid understanding of push notifications, deep linking, and modern iOS capabilities.
• Experience with automated testing across layers and CI/CD for iOS.
• Ability to solve algorithmic problems and analyze data to inform decisions.
• Experience with cross-functional teams, high-traffic apps, analytics, and A/B testing.
• Clear communicator who thrives in fast-paced, ambiguous environments; champion of TDD and code quality.
• Familiarity with full-stack concepts; experience mentoring; Android/Kotlin literacy.

At Pearl, you’ll build a high-impact iOS app used by millions, applying modern architecture, Swift expertise, and rigorous experimentation in a culture of continuous delivery and deep cross-functional collaboration.
You’ll harness AI to ship faster—auto-generate code/tests/docs, improve code reviews and CI/CD, translate Android↔iOS logic, and surface insights that elevate UX and performance.

We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
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