Priceline Mobile Engineer Interview Experience (2026) — Android / Jetpack Compose

I interviewed with Priceline for a Senior Mobile Engineer position focusing on their Android app. I've been doing Android development for 6 years, and Priceline was one of my target companies because of their scale and the technical challenges of building a travel booking app.

The interview process was comprehensive but fair — they tested both Android-specific knowledge and general mobile engineering principles.

Quick Stats

• Role: Senior Mobile Engineer, Android Team
• Location: Norwalk, CT (hybrid — 2 days in office)
• Timeline: ~3 weeks from referral to offer
• Rounds: Recruiter screen → Online assessment → 2 coding interviews → System design interview → Behavioral round
• Outcome: Offer — $160k base + bonus + RSUs

A former colleague who joined Priceline's Android team last year referred me.

Stage 1: Recruiter Screen

30-minute call with the technical recruiter. She asked about:

• My Android experience (Kotlin, Jetpack Compose, etc.)
• Experience with travel or e-commerce apps
• Knowledge of mobile architecture patterns
• Why I was interested in Priceline specifically

She mentioned that Priceline is investing heavily in their mobile apps because a significant portion of their bookings now come from mobile devices. They're looking to modernize their Android app with Jetpack Compose and improve performance.

Stage 2: Online Assessment

75-minute coding assessment on HackerRank focused on Android and general programming.

Android-specific questions (MCQ):

• Android lifecycle and memory management
• Jetpack Compose fundamentals
• Coroutines and flow
• Room database and data persistence
• Android architecture components (ViewModel, LiveData, Repository pattern)
• Performance optimization techniques

Coding problems:

1. Implement a debounce operator for a flow of search queries (Kotlin)
2. Given a list of hotel search results, implement a diff algorithm to efficiently update a RecyclerView
3. Design a simple in-memory cache with LRU eviction policy

The problems were practical and relevant to mobile development — not abstract algorithm puzzles.

Stage 3: Coding Interview 1 — Android Fundamentals

This round was conducted in a collaborative coding environment (not an IDE, which was interesting).

Problem: Implement a hotel search screen with the following requirements:

• Search input with debouncing
• Loading and error states
• Pagination for results
• Caching of search results
• Offline support for recent searches

I implemented this using:

• Jetpack Compose for the UI
• Kotlin coroutines and Flow for async operations
• Room database for local caching
• WorkManager for background sync
• Repository pattern for data layer

The interviewer asked follow-up questions:

• "How would you handle network failures?" → I discussed retry logic with exponential backoff
• "What if the user changes search criteria while a previous search is still loading?" → Talked about cancelling coroutines
• "How do you ensure the cache doesn't grow indefinitely?" → Discussed cache eviction policies

Stage 4: Coding Interview 2 — Performance & Optimization

This round focused on mobile performance optimization.

Problem: The Priceline app is experiencing slow scroll performance on the hotel list screen. Walk me through your debugging approach.

My systematic approach:

1. Profiling: Use Android Profiler to identify bottlenecks (CPU, memory, GPU)
2. Layout inspection: Check for overdraw and complex view hierarchies
3. RecyclerView optimization: Verify proper ViewHolder reuse, diffing, and prefetching
4. Image loading: Check image loading library configuration (caching, sizing, format)
5. Network calls: Verify no blocking calls on the main thread
6. Database queries: Check for slow queries or N+1 query problems

The interviewer then gave me a specific scenario: "Images are loading slowly and causing jank." I discussed:

• Using Coil or Glide with proper caching strategies
• Preloading images for off-screen items
• Using appropriate image formats (WebP for better compression)
• Implementing placeholder images
• Loading lower resolution images first, then higher resolution

Coding exercise: Optimize a given RecyclerView adapter implementation. The original had issues with:

• No view recycling
• Creating new objects in onBindViewHolder
• Complex calculations in the adapter

I refactored it to use proper ViewHolder pattern, moved calculations to a background thread, and implemented a diff callback for efficient updates.

Stage 5: System Design Interview

Prompt: Design the architecture for a travel booking mobile app that needs to support:

• Flight and hotel booking
• Real-time price updates
• Offline access for saved trips
• Push notifications for booking updates
• Multi-language support

I structured my architecture:

App architecture (Clean Architecture):

• Presentation layer (Jetpack Compose UI, ViewModels)
• Domain layer (Use cases, business logic)
• Data layer (Repository pattern, data sources)

Key components:

• API layer: Retrofit for network calls, with OkHttp interceptors for logging and authentication
• Database: Room for local data persistence, with synchronization strategies
• Dependency injection: Hilt for DI
• State management: StateFlow and Compose state
• Navigation: Jetpack Navigation Compose
• Offline support: Local database cache with sync strategy using WorkManager
• Push notifications: Firebase Cloud Messaging with notification handling

Discussion points:

• Real-time price updates: WebSockets or polling? I recommended WebSockets for efficiency, with fallback to polling if needed
• Data synchronization: Conflict resolution when offline changes are synced — I discussed using last-write-wins with timestamps or operational transformation for complex cases
• Performance: Lazy loading, pagination, image optimization, memory management
• Testing: Unit tests for business logic, UI tests for critical flows, integration tests for API layer

The interviewer asked: "How do you handle A/B testing in the app?" I discussed using Firebase Remote Config or Optimizy for feature flags and A/B testing, with proper analytics integration.

Stage 6: Behavioral Round

This was with the engineering manager for the mobile team.

Questions:

• "Tell me about a challenging bug you fixed in production. How did you identify and resolve it?"
• "How do you stay updated with Android development? What new features are you excited about?"
• "Describe a situation where you had to make a trade-off between code quality and shipping quickly."
• "How do you approach code reviews for mobile code?"

For the challenging bug question, I talked about a memory leak in a third-party SDK that was causing crashes. I used memory profiling tools to identify the leak, worked around it by implementing custom lifecycle management, and reported the issue to the SDK vendor.

What's Different About Mobile at Priceline

Priceline's mobile apps have unique challenges:

• Complex booking flows that need to work seamlessly
• Integration with multiple third-party APIs (airlines, hotels, car rentals)
• Need for offline functionality (users often book while traveling)
• High performance expectations (users won't tolerate slow apps)
• Global user base with different languages and currencies

Compensation

Offer: $160,000 base salary plus a 15% annual bonus target and RSUs vesting over 4 years. Total first-year comp is approximately $185,000–$195,000.

Advice for Mobile Candidates

If you're interviewing at Priceline for a mobile role in 2026:

• Know Jetpack Compose: They're actively migrating to Compose. Be prepared to discuss it in depth.
• Understand mobile architecture: Clean architecture, MVVM, repository pattern — know when and why to use each.
• Focus on performance: Mobile performance is critical at Priceline. Be ready to discuss optimization techniques.
• Have app examples: Be prepared to discuss apps you've built, including architecture decisions and trade-offs.
• Know the travel domain: Understanding the complexity of travel booking will set you apart.

I'm joining the Android team next month. They're in the middle of a Compose migration, which is exactly the kind of challenge I was looking for. Happy to answer questions!