The platforms and the IP are theirs. What is ours is the people we put inside the building, and the trust we earned placing them.

Where it scaled.

Property Finder became our largest engagement and the clearest proof of how we work at full platform scale. More than 50 of our engineers embedded directly into Property Finder's squads under their roadmap, their architecture, their bar.

Owned like it was ours.

Across the core product, our engineers took ownership not just delivery.

• B2B Platform

  Platform Revamp

  Re-architected across five markets on a shared React and React Native Web codebase, with REGA and RERA compliance built straight into the listing flow.

• Native Mobile

  iOS Rebuild

  Rebuilt on SwiftUI and MVVM, centralised valuation and area-conversion logic, and refined core property journeys for consistency across the app.

• Finance

  Mortgage Integration

  Wove the in-house mortgage platform into the core property experience financing now sits inside the listing, not beside it.

• Data

  Data Engineering

  Migrated the warehouse from Snowflake to Redshift, rebuilt reporting on QuickSight at full metric parity with no disruption to the business.

• Performance

  Internal Tooling

  Optimised core SQL by 30–40%, lifted application performance by 35–45%, cut manual reporting by more than half, and held uptime above 99.5%.

Trusted well beyond the core product.

Most partners staff one or two areas well. Our people were trusted across all of them at once.

• Growth

  SEO & Content

  Centralised content in a headless CMS with a Markdown system for SEO pages. Navigation made fully CMS-driven updates no longer needed code releases.

• Retention

  Re-engagement

  Behaviour-driven lifecycle journeys across email, push and messaging triggered by abandoned searches, saved properties and inactivity windows.

• Revenue

  Monetisation

  Built new monetisation surfaces with region-aware targeting on Google Ad Manager, alongside a SwiftUI/MVVM migration for cleaner, more testable state.

• Ops

  CRM & Finance

  Salesforce automation with SLA tracking and record-triggered flows, plus real-time budget visibility across PR, PO and billing in NetSuite.

• Compliance

  Martech & Compliance

  Tealium-to-Braze event orchestration, GDPR consent enforcement on European sites, and centralised campaign tracking across web and mobile.

• Governance

  Engineering Governance

  Configured 40+ structured JIRA projects with Slack-integrated automation, and standardised role-based access across internal systems.

Then they stopped interviewing.

Once Property Finder saw the calibre of the people we placed, they did something clients almost never do.

More than 30 engineers came in this way every one landing at Property Finder's standard with no drop in quality. Handing a partner your own hiring gate is the highest trust a client can give. It is not something you can buy or pitch your way into. It is earned by the people you have already placed.

The requirement sets the search.
Never a map.

Our reach is what made it work. We were never limited to India. When a role called for it, we hired wherever the talent was. The requirement set the search not geography.

Where we've placed talent

• India
• Romania
• Egypt
• Wherever the brief points

An approved vendor.
Many projects in.

TechieButler is an approved vendor at Property Finder today, with many projects delivered across the platform and more still running. A relationship that began with one engineer solving one problem now spans web, mobile, data, growth and infrastructure.

One role. One engineer.
One problem solved, then earned the rest.

Every engagement is what won the next one.

1. Step 01Start with a single role — prove calibre on merit, under the client's own interview process
2. Step 02Understand the business, not just the tickets — own the expensive problems people have stopped noticing
3. Step 03Build the reputation that expands the scope — from one engineer to a squad
4. Step 04Earn the hiring gate — deliver consistently enough that the client stops interviewing and trusts the bar
5. Step 05Scale from one role to 50+ engineers embedded across web, mobile, data, growth and infrastructure

Both engagements operate under a staff-augmentation model. The platforms, products and IP referenced here belong to the clients; our role is embedded engineering within their teams. At Lakeshore Learning the price-intelligence system was self-initiated by our team and deployed in their environment. Metrics reflect outcomes the team contributed to.