IOS Developer

Company Description

We are a consulting company with a bunch of technology-interested and happy people!

We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.

With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.

We are looking for you who want to grow with us!

With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.

Job Description & Skills:

Profile/Role: IOS Developer
Experience: 10 + Yrs

Location: Bangalore

Notice Period: Immediate to 15 Days

Qualifications

• 10+ years building production iOS apps; 3+ years leading authentication/identity on iOS at scale.
• Expert in Swift (5.9/6), Swift Concurrency (async/await, actors), SwiftUI + UIKit interoperability.
• Deep knowledge of OAuth 2.0, OIDC, PKCE, JWT, token rotation, clock‑skew handling, and secure storage (Keychain).
• Proven integration of CIAM platforms/SDKs (Auth0/Okta/Azure AD B2C/Cognito or equivalent).
• Strong with architecture patterns (Clean Architecture, MVVM, Coordinator, Dependency Injection) and modularization.
• Experimentation chops: feature flags, A/B testing, phased rollouts, and impact measurement.
• Tooling: Xcode 15/16, Instruments, XCTest/XCUITest, snapshot tests; Fastlane/Xcode Cloud/GitHub Actions.
• Solid grasp of privacy & compliance (user consent, ATT, data minimization, secure analytics pipelines).
• Multi‑app SSO via Keychain Access Groups, App Groups, and shared containers.
• App Attest/DeviceCheck, jailbreak/root detection strategies, and cert pinning experience.
• Experience with background refresh and BGTaskScheduler for token renewal & config sync.
• Scaled e‑commerce exposure: high traffic events, flash sales, promotions, and resilient checkout flows.
• Data/statistics comfort: experiment design pitfalls (peeking, p‑hacking), CUPED/variance reduction familiarity.
• Exposure to server‑side identity (token services/Key Rotation/Revocation endpoints) and Edge/CDN auth patterns.