Senior iOS Developer

The ideal candidate must have significant experience with Bluetooth Low Energy (BLE) and a strong grasp of iOS system frameworks and app lifecycle management.

Job Description:

Key Responsibilities:

• Develop and maintain robust iOS applications using Swift and SwiftUI.
• Implement and maintain BLE communication, handling connections, pairing, data exchange, and background operations.
• Collaborate with designers and engineers to deliver high-quality user experiences.
• Write clean, maintainable, and scalable code following best practices.
• Optimize applications for performance and memory usage.
• Unit testing, debugging, and performance profiling.
• Contribute to architectural decisions and code reviews.
• Use AI coding assistants and agentic tools (such as GitHub Copilot, Cursor, Claude Code) in day-to-day delivery to accelerate development, refactoring, debugging, and documentation.
• Review, validate, and take ownership of AI-generated code, ensuring it meets quality, security, performance, and architectural standards before it is merged.
• Leverage AI to generate and improve unit, integration, and UI test cases, and to support code reviews and release notes.
• Contribute to team practices for AI-assisted delivery, including prompt patterns, reusable context or rule files, and guidelines for responsible use of AI on client code.

Required Skills:

• 5-7 years of hands-on iOS development experience.
• Expertise in Swift, SwiftUI, Combine, and Foundation.
• Proven experience working with CoreBluetooth and BLE peripheral/central modes.
• Understanding of iOS app lifecycle, memory management, and background modes.
• Familiarity with MVVM and Clean Architecture in iOS development.
• Proficient in integrating RESTful APIs using URLSession or third-party libraries like Alamofire.
• Experience in managing local data using CoreData or Realm.
• Knowledge of App Store guidelines, provisioning, and deployment.
• Hands-on experience using AI-assisted development tools in a professional setting, with the judgement to know when to rely on AI output and when to challenge it.
• Strong prompt engineering and context-management skills to get reliable, production-quality output from AI coding tools.
• Awareness of data privacy, IP, and security considerations when using AI tools on client codebases.

Nice to Have

• Exposure to cross-platform frameworks like Kotlin Multiplatform Mobile, Compose Multiplatform Mobile is a plus.
• Experience with CI/CD tools like GitHub Actions, Jenkins.

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