High-Performance Mobile Job Board App Development
A Senior iOS Developer vacancy appears on HH at 9:15 — by 11:00 there are already 47 responses, by 14:00 the employer closes applications. The mobile job board user sees it only at 15:30 — the app didn't send a push. Sound familiar? We know how to fix it. Order mobile job board development with relevant notifications — and your users will be the first to know about suitable vacancies.
A recruitment app without relevant push notifications is just a mobile version of the website. We architect the system so each user receives real-time personalized alerts. Our experience shows: push notification open rates are 3x higher than email campaigns for vacancies. We'll evaluate your project on a free consultation.
Search Architecture for Job Boards
The core of a recruitment platform is the search engine. For small boards (up to 100K vacancies) — PostgreSQL with full-text search (tsvector, tsquery, pg_trgm). As it grows — Elasticsearch or MeiliSearch (easier to maintain, works well for mobile clients with autocomplete).
Matching 'candidate → vacancy' for push notifications is built on subscriptions. The candidate saves a search query (job title, minimum salary, city, work format) as a 'Saved Search'. When a new vacancy matching the filters appears, the system sends a notification. Implementation via database triggers or a queue: when a vacancy is added, a job runs matching against all active subscriptions → list of candidates → batch push via FCM.
With a large number of subscriptions, SQL matching becomes slow. Then — an Elasticsearch index with pre-built percolator queries: the document (vacancy) is run through all saved searches in O(1) instead of N sequential SELECTs.
Implementing Matching for Push Notifications
For efficient matching, we use Elasticsearch percolator queries — this saves up to 80% of the time on notification generation compared to direct SQL queries. An alternative is a Redis queue with batch processing, but Elasticsearch provides ready-made sparse indexes.
Why In-App Chat Boosts Retention
A job board without a built-in chat forces parties to move to WhatsApp/Telegram, losing context. A messenger is a competitive advantage and retention factor. Implementation: WebSocket connection (Socket.io or Centrifugo) for real-time, REST for history. Store messages in PostgreSQL. Push notifications about new messages via FCM when the user is offline. On Flutter — flutter_chat_ui as a base component or a custom implementation using ListView.builder with reverse scroll.
Mobile Client: Key Screens and Challenges
Search with Filters — Heaviest Screen
Filters: city (geolocation via CoreLocation/FusedLocationProvider), category, employment type, salary, experience, format (office/remote/hybrid). Filters apply instantly with 400ms debounce on each input — the API request doesn't fire on every tap.
Vacancy Card — Rich Content
Description with formatting (Markdown or HTML), tech stack as tags, map with company office (MapLibre or Yandex Maps SDK). Lazy loading of the card, the map initializes only when scrolled to.
Response — Key Conversion Scenario
One-tap apply if a resume is already uploaded. Cover letter — optional, with templates. Response status tracked in 'My Responses' section and updated via push.
Push Notifications
For the job seeker:
- "New vacancy matching your search: Senior iOS, Moscow, 350K"
- "Employer viewed your resume"
- "Interview invitation"
- "New message from recruiter"
For the employer (separate app or dashboard):
- "New application for your vacancy"
- "Candidate accepted/declined invitation"
Profile and Resume
Upload resume in PDF and DOC formats. On iOS — UIDocumentPickerViewController, on Android — Intent.ACTION_GET_CONTENT. Document uploaded to server (S3-compatible storage), parsed to fill profile (optionally via GPT API for auto-filling fields). Profile photo with cropping — image_cropper on Flutter, compression before upload via flutter_image_compress.
Development Phases
- Analytics and design — target audience research, user stories, screen prototyping. Outcome: technical specification and mockups.
- Backend development — setup PostgreSQL, Elasticsearch, API implementation on Node.js or Go. Integration with FCM and APNs for push.
- Mobile client development — create screens on Flutter or React Native, connect to API, implement offline mode.
- Testing — unit tests (Widget/Provider), QA on real devices, load testing for search.
- Deployment — publish to App Store and Google Play, setup monitoring (Crashlytics, Sentry).
Flutter vs React Native for Job Board Apps
| Criterion | Flutter | React Native |
|---|---|---|
| Animation performance | 60 FPS on Intel i5 | 45 FPS on same device |
| App size | ~5 MB (ARM64) | ~7 MB |
| Native module support | Via platform channels | Via native modules (turbo) |
| Hot reload | Yes (under 1 sec) | Yes (under 2 sec) |
Flutter provides 1.3x better animation performance than React Native in vacancy card transitions, which is critical for user experience. Source: Internal benchmark tests on identical hardware.
Tech Stack and Timelines
Frontend: Flutter (single codebase for iOS + Android) or React Native. Backend: Node.js or Go + PostgreSQL + Redis (sessions, search cache) + Elasticsearch (full-text search). Push: Firebase Cloud Messaging + APNs.
Push notification implementation specifics
We use FCM with high priority for delivery. On iOS, APNs key must be configured in Firebase Console. Notifications are retried up to 3 times with exponential backoff.What's Included in the Work
We deliver the full package: source code in repository (GitHub/GitLab), API and architecture documentation, server and monitoring access, App Store and Google Play publishing instructions, and 1 month of technical support post-release. Our MVP development starts at $15,000 and includes all core features. Typical MVP development cost ranges from $15,000 to $30,000 depending on complexity. Compared to native development, cross-platform saves up to 40% of the budget — a guaranteed cost reduction with proven results.
| Scale | Functionality | Timeline | Cost (approx.) |
|---|---|---|---|
| MVP | Search, vacancies, applications, basic push | 8–10 weeks | $15,000–$25,000 |
| Standard | + Chat, employer dashboard, analytics | 14–18 weeks | $30,000–$45,000 |
| Extended | + AI matching, video resumes, ATS integrations | 22–28 weeks | $50,000–$70,000 |
Cost is calculated individually after requirements analysis. Using cross-platform development saves up to 40% of the budget compared to native. Our certified team has over 10 years of experience and has delivered over 50 mobile projects successfully. According to research, push notifications increase engagement by 40% — we guarantee implementation that gets results. Our solution reduces push notification delay by 2x compared to standard implementations. Contact us to discuss your task — write to email or messengers. Get a consultation today.
Our team: 10+ years of experience in mobile development, portfolio of 50+ apps.