Decide the platform before you open the role.
Mobile engineering talent in India is abundant in aggregate and scarce in the specifics.
The Android pool is large and deep. The iOS pool is smaller and commands a premium. Cross-platform frameworks have created a new segment that sits between the two. This guide covers the market, the compensation, and how to make the platform decision before the search opens.
If you have ten minutes before a hiring review, read only this.
The platform decision comes first.
Hiring a mobile engineer before deciding the platform strategy is the most common sequencing error. The talent, the cost, and the search difficulty differ significantly by platform.
Planning a hire like this? Tell us the role and we will map the right approach within a week.
Book a consultation →The Indian market by platform.
India's mobile engineering pool skews Android because of the country's Android-dominant market share. iOS engineers are scarcer because fewer Indian developers work in the Apple ecosystem. This scarcity drives a 15 to 25% premium for senior iOS talent.
Where to find them.
Senior native iOS engineers in India are concentrated at well-funded startups and GCCs with Apple ecosystem products. Android engineers are more widely distributed. Cross-platform engineers surface through startup ecosystems where React Native and Flutter have been adopted for speed.
The engineering and AI hiring practice sources mobile talent through community channels (Android Developer Group chapters, CocoaHeads, React Native meetups) rather than standard job boards, because the strongest mobile engineers are community-active.
Screening for real mobile depth.
- Ask about a production mobile problem: memory leaks, performance profiling, or a crash that was hard to reproduce.
- Test platform-specific knowledge: lifecycle management, state management architecture, and OS-specific constraints.
- For cross-platform: ask where they had to drop to native code and why. A cross-platform engineer who has never touched native is surface-level.
- Check the apps they have shipped. Download them if they are live.
The mobile engineering decision tree, native vs cross-platform, iOS vs Android, is a product decision that determines the hiring market you enter. India's Android depth makes it the natural choice for Android-first products. iOS hiring requires patience and a premium. Cross-platform hires are growing fast but need screening for genuine depth versus framework-only knowledge.
Where a specialist partner changes the outcome.
None of this requires a partner, but most teams discover each problem the expensive way. A specialist engineering search partner shortens that learning curve.
Brief calibration → Titles, levels and comp bands are checked against the India market before any outreach.
Sourcing → Built around deployment evidence, not keywords. Engineering and AI search across backend, platform, data and AI.
Assessment → Every shortlisted candidate is screened by someone who can hold a real technical conversation.
Offer and notice → Counter-offer risk is mapped before the offer, and candidates are managed through notice.
Discuss a mandate →Real mandates, real numbers.
Seven roles across data science, research, full stack engineering and UI/UX design. Each ran as its own specialist search with one hiring bar, rather than a single high-volume funnel.
A Head of Engineering, two AI Engineers and a Product Analyst. Each role sat in a different talent market and needed a different read on what strong looked like.
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