iOS Developer

Job Summary - iOS Developer

We are looking for an iOS Developer with 2 to 6 years of experience to contribute to our product roadmap by building and enhancing production-grade iOS applications. The ideal candidate should have strong hands-on experience with Swift, SwiftUI, and modern iOS development practices, with the abilityo deliver high-quality, scalable, and performant mobile applications.

Key Responsibilities

Develop, maintain, and enhance production-grade iOS applications.
Build intuitive and responsive user interfaces using SwiftUI.
Integrate REST APIs and third-party SDKs into mobile applications.
Collaborate with Android, Backend, QA, and Product teams to deliver high-quality features. Optimize application performance and troubleshoot production issues. Participate in code reviews and ensure adherence to engineering best practices. Write clean, maintainable, and scalable code following modern iOS development standards.

Minimum Qualifications

2 to 6 years of experience in iOS application development.
Strong proficiency in Swift and SwiftUI.
Good experience with UIKit.

Good experience with KMP (Kotlin Multiplatform).
Solid understanding of MVVM Architecture.
Experience with Concurrency using Async/Await and Grand Central Dispatch (GCD).
Hands-on experience integrating REST APIs.
Familiarity with dependency management tools such as CocoaPods and Swift Package Manager
(SPM).
Proficiency with Git for version control.
Strong problem-solving and debugging skills.

Preferred Qualifications
Experience developing FinTech applications.
Exposure to CI/CD pipelines.
Experience writing Unit Tests.
Knowledge of application performance optimization and profiling.

What is in it for you?

Led AI-driven engineering initiatives across underwriting, repayment, collections, dialer systems, and
core lending platforms supporting high-volume transactions and large-scale customer traffic.
Architected scalable data and AI ecosystems leveraging Databricks for real-time analytics, ML
workflows, observability, and intelligent decision-making systems.
Spearheaded next-generation DevOps and observability transformation through AI-powered
monitoring, predictive diagnostics, automated RCA, and operational automation, significantly
improving platform reliability, scalability, and infrastructure cost efficiency.
Designed and scaled distributed systems, event-driven architectures, and agentic AI workflows to
accelerate engineering productivity, strengthen fraud detection capabilities, optimize operations, and
enhance customer experience at scale.